Senior Machine Learning Engineer

Summary

Assesses the suitability of machine learning and designs and develops solutions for a range of business problems. Selects and applies appropriate techniques and algorithms based on data characteristics and business requirements. Provides guidance to others. Engineers features and optimises model performance. Implements algorithms and contributes to development, evaluation, monitoring and deployment. Applies industry-specific rules and guidelines, anticipating risks and implications. Collaborates with cross-functional teams to integrate machine learning models into production systems. Conducts in-depth performance analysis and troubleshoots issues.

Work Activity Components

Title Details
Collaboration (Level Four) (MLNG) Collaborates with cross-functional teams to integrate machine learning models into production systems. Conducts in-depth performance analysis and troubleshoots issues.
Evaluation (Level Four) (MLNG) Advises on the effectiveness of specific techniques, based on project findings and on knowledge of wider research. Assesses machine learning suitability and designs and develops machine learning solutions for a range of business problems.

Technical Skills

Title Details Depth
Big Data The discipline associated with data sets so large and/or complex that traditional data processing applications are inadequate. The data files may include structured, unstructured and/or semi-structured data, such as unstructured text, audio, video, etc. Challenges include analysis, capture, curation, search, sharing, storage, transfer, manipulation, analysis, visualization and information privacy. Proficient in
Business Environment The business environment relating to own sphere of work (own organisation and/or closely associated organisations, such as customers, suppliers, partners and competitors), in particular those aspects of the business that the specialism is to support (i.e. localised organisational awareness from a technical perspective). Familiar with

Other Skills

Title Details Depth
Artificial Intelligence Concepts Understanding of concepts and trends in artificial intelligence and the potential benefits and real-world implications, including risk and security, of its deployment within the organisation. Proficient in

Training

Title Details
Coaching Concepts, methods and techniques for providing coaching in subject specialisms to individuals or groups (e.g. GROW model).
Real-time Systems Development Principles of concurrent and non-concurrent synchronisation, and the tools and techniques for the development of event-driven and/or polled critical systems.
User Interface Design Principles, practices, tools and techniques for user interface design and the creation of graphical user interfaces that make user interaction with systems, software, and applications as simple and efficient as possible.

Professional Development Activity (PDA)

Title Details PDA Group
Deputising Standing in for supervisor or manager on a temporary basis during periods of absence. Broadening Activities
Gaining Knowledge of Activities of Employing Organisation Developing an understanding of the potentially diverse range of activities (service, governance, administrative, regulatory, commercial, charitable, industrial, etc.) undertaken by the employing organisation. Increasing Knowledge
Gaining Knowledge of IT Concepts and Techniques Undertaking study, learning and, where possible, practice in IT concepts and techniques external to own function. Increasing Knowledge
Job Shadowing and Special Assignments Undertaking temporary periods or secondments in other roles, particularly those that offer a new perspective on own function or exposure to other environments and cultures. Broadening Activities
Negotiating and Influencing Undertaking learning and practice of negotiating with and influencing others. Developing Professional Skills
Participation in Professional Body Affairs Taking an active part in professional body affairs at branch, specialist group, committee or board level. Participation in Professional Activities
Research Assignments Exploring a topic which is not part of own normal responsibilities and presenting findings to colleagues and/or management Increasing Knowledge

Qualification Components

Title Awarding Bodies
AI Engineer career path Microsoft
AWS Certified Machine Learning Specialty AWS Amazon Web Services
Professional Machine Learning Engineer GoogleCloud
FEDIP Senior Practitioner The Federation for Informatics Professionals

Additional Frameworks

National Competency Framework for Data Professionals in Health and Care

Behaviours

Title Details
Delivering outcomes (B1.1) (Level Three) You initiate work with others in your team and beyond in order to bring about a generally agreed outcome.
Communicating within a hierarchy (B1.2) (Level Three) You are able to communicate to those in authority when their requests are in conflict with each other.
Generating consensus (B1.3) (Level Three) You are generally able to quickly gather a consensus of opinion to support your ideas.
Logical arguments (B1.4) (Level Three) You are able to construct a clearly predicated argument with logically consistent conclusions.
Negotiation (B1.5) (Level Three) You are able to negotiate exchanges over multiple poles of interest in order to achieve a specific result.
Generating support (B1.6) (Level Three) You are always able to gather help with minimal effort when faced with a tricky problem.
Influence (B1.7) (Level Three) You are able to apply influence even when faced with being influenced by a number of peers.
Equality (B2.1) (Level Three) You make extra efforts to ensure that, where the voices of certain groups are not being heard, you take the time to hear them.
Challenging discrimination (B2.2) (Level Three) You articulate, when prompted, the fact that discrimination of any kind will not be tolerated by your organisation and signpost issues to senior management for immediate resolution.
NHS Constitution (B2.3) (Level Three) You have a detailed understanding of following the behaviours and values listed in the NHS Constitution.
Supporting others (B2.4) (Level Three) You are supportive of others and take time to ensure they are okay. Whilst ensuring everyone has someone to talk to, you ensure that you are able to talk to someone when you need to as well.
Open environment (B2.5) (Level Three) You help to model an open environment by facilitating sessions for underrepresented and marginalised individuals to share their lived experiences with you and your colleagues, asking questions and escalating concerns to your line manager.
Written communication (B3.1) (Level Three) You are able to convey complex written ideas, citing a variety of sources, in a clear and concise manner.
Discussing complex ideas (B3.2) (Level Three) You are able to discuss complex ideas in a clear and accessible manner to a non-technical audience.
Delivering complex ideas (B3.3) (Level Three) You deliver complex ideas and insights to a diverse range of audiences.
Understanding new ideas (B3.4) (Level Three) You are able to understand new and complex ideas from multiple sources in order to convey the information concisely.
Reading audiences (B3.5) (Level Three) You are able to assess how comfortable someone is in understanding your information and naturally cover the information they are unclear on in a new and accessible manner.
Problem sharing (B4.1) (Level Three) You regularly work on problems with others outside of your immediate work area while respecting pre-agreed boundaries.
Seeking opinions (B4.2) (Level Three) You seek out the opinions of a number of others to create a rich solution to a problem.
Sharing best practice (B4.3) (Level Three) You collate and offer best practice in your area and openly share your findings.
Embedding best practice (B4.4) (Level Three) You seek out exemplars of "what good looks like" and embed them within your area.
Patient impact (B5.1) (Level Three) You seek out ways of making your actions better for patients.
Understanding the customer (B5.2) (Level Three) You take time to consult with the client, offering a range of solutions.
Customer service (B5.3) (Level Three) You spend time on complex problems to understand the customer's perspective and solutions that would add value.
Customer solutions (B5.4) (Level Three) You seek out new and innovative solutions to proactively inform customers of efficiencies in your provision.

Leadership

Title Details
Empathy and understanding (Level Three) You are always available to your team and consistently act with care, empathy and compassion.
Pressure (Level Three) You are able to explain to those around you why organisational and political pressures make it seem like senior managers are pulling in a different direction sometimes.
EDI (Level Three) You actively engage in your organisation's EDI networks and take care to appreciate the lived experiences of those people different to you.
Team support (Level Three) You back your team consistently when questioned in public.
Positivity (Level Three) You are able to act effectively and fairly when under pressure whilst being aware of the dangers of favouritism on morale.
Innovation (Level Three) You seek out innovations that will support your team's work.
Safe to fail (Level Three) You will promote your team's successes publicly and examine failures privately, taking responsibiity for those failures in public.
Fairness (Level Three) You understand the preferences and strengths of individuals within your team and can utilise them effectively whilst developing their skills in other areas.
Opportunities (Level Three) You empower the team to follow through on new ideas or processes, providing a safe environment in which to try new things.
Goals (Level Three) You set clear goals and articulate achievable expectations.
Performance (Level Three) You offer support to your team to exceed expectations.
Motivation (Level Three) You consistently celebrate success but also promote learning through failure in safe environments.
Expectations (Level Three) You are able to articulate disappointment when the efforts of others fall below expectations.
Succession planning (Level Three) You are able to readily identify those in your team who have the opportunity to excel at their level and beyond and use this knowledge to begin succession planning.
Managing expenditure (Level Three) You are able to manage your expenditure and ensure you have no quarterly or annual overspend.
Budget control (Level Three) You are able to plan and manage your budgets ensuring that you have the enough money allocated to the correct area.
Forecasting (Level Three) You are able to produce accurate forecasts based on current expenditure and foreseen developments within your team.
Business cases (Level Three) You are able to highlight the need for a business case in new areas or work and identify options for appraisal.
Recruitment (Level Three) You take time to build your recruitment processes around professional standards whilst ensuring that the process remains open and transparent for all.
Supporting ambition (Level Three) You understand the backgrounds and motivations for all members of your team and ensure that all efforts are made to support their ambitions whilst aligning them to the needs of the organisation.
Training opportunities (Level Three) You provide ample opportunity for training for all members of your team whether that is from internal colleagues, external organisations or specialist providers.
Professional development (Level Three) You ensure that all staff are able to focus a portion of their work time on CPD and ensure that their Personal Development Plans are regularly reviewed, updated and constantly worked on.
Managing external pressures (Level Three) You ensure that time is set aside for the team to focus on each aspect of their role, wherever possible, free from distraction and interruption, protecting them, where possible, from the pressures of other managers outside the department, ensuring their well-being is protected from external pressures.

Data Skills

Title Details
Reporting (Machine Learning) (Level Three) Reports fully on own and team’s analytical work in sufficient detail to meet customer needs, effectively presenting results in both written and oral form and explaining strengths and limitations of analysis and the underlying data.
Key messages (Machine Learning) (MLEC1.2) (Level Three) Communicates key messages from analytical work in clear and concise terms for a variety of audiences.
Explanation and recommendation (MLEC1.3) (Level Three) Clearly explains the implications of analytical evidence and makes reasonable recommendations based on the results of analysis.
Tailored presentation (Machine Learning) (MLEC1.4) (Level Three) Draws out the key messages for the customer and provides insight to inform debate and influence decision making.
Improving outputs (Machine Learning) (MLEC1.5) (Level Three) Leads colleagues to create more advanced outputs.
Tool selection (Machine Learning) (MLEC1.6) (Level Three) You have an awareness of the available tools, considering multiple options for tooling and their implications
User needs (Machine Learning) (MLEC1.7) (Level Three) Evaluates data products to ensure that they meet the needs of a variety of users and utilises feedback for continuous improvement.
Reporting processes (Machine Learning) (MLEC1.9) (Level Three) Uses reporting processes to highlight risk and issues and any performance changes.
Standards (Machine Learning) (MLEC1.10) (Level Three) You have an awareness of the available standards and procedures.
Benefits and value (Machine Learning) (MLEC1.11) (Level Three) You are aware of the benefits and value of different solutions.
System context (Machine Learning) (MLEC1.12)(Level Three) Understands the system context of their product including the identification of stakeholders and appreciation of wider issues.
Community links (MLEC1.13) (Level Three) Develops and maintains links with machine learning colleagues in the wider community of academia and industry.
Techniques (MLEC2.1)(Level Three) You are aware and can apply appropriate machine learning models and techniques.
Guidance (MLEC2.2) (Level Three) You can provide guidance on matching data sources with relevant applied mathematics and statistical techniques to meet analysis goals.
Application (Machine Learning) (MLEC2.3) (Level Three) You can apply appropriate statistical techniques to available data to discover new relations and offer insight into research problems, helping to improve organisational processes and support decision making.
Research and development (MLEC2.4) (Level Three) You can keep up with scientific developments, understand research papers, and contribute to research in the field of machine learning.
Computer science practices (MLEC2.5)(Level Three) You can demonstrate proficiency in computer science principles, including algorithms, data structures, and computational complexity.
Ethical considerations (MLEC3.1) (Level Three) You can understand and apply ethical principles in the development and deployment of machine learning models.
Privacy awareness (MLEC3.2)(Level Three) You apply the appropriate privacy standards, regulations and secure data handling to models and your data usage.
Regulatory compliance (MLEC3.3)(Level Three) You stay informed about and adhere to relevant AI regulations and legal requirements.
Cybersecurity awareness (MLEC3.4)(Level Three) You can understand the cybersecurity implications of machine learning models and apply that appropriate security measures.
Interdisciplinary collaboration (MLEC3.5) (Level Three) You are aware of the need for collaboration with other disciplines such as cybersecurity, data privacy, and legal teams.
Best practice (MLEC4.1) (Level Three) You can stay current with cutting-edge research and developments in machine learning and related fields.
Improvement (Machine Learning) (MLEC4.3)(Level Three) You can embrace a mindset of continuous development and iterative improvement of models and solutions.
Leadership (MLEC4.4) (Level Three) You can lead the transformation of innovative ideas into practical applications and projects.
Knowledge sharing (Machine Learning) (MLEC4.5)(Level Three) You proactively share your knowledge and work.
Realistic solutions (MLEC4.6) (Level Three) You can propose and implement innovative solutions that are feasible within the organisation's resources and capabilities.
Integration skills (MLEC5.1) (Level Three) You can create and manage MVP pipelines and interfaces, ensuring seamless integration of machine learning models into existing systems.
Containerisation and interoperability (MLEC5.2) (Level Three) You can demonstrate proficiency in containerisation and ensure interoperability between different systems and platforms.
Redundancy and reliability (MLEC5.3) (Level Three) You consider redundancy and ensure the reliability of components when implementing solutions.
Cost-benefit analysis (MLEC5.4) (Level Three) You can balance cost, benefit, and performance considerations in system integration.
Testing and monitoring (MLEC5.5) (Level Three) You can implement testing frameworks, and understand issues of monitoring systems and model drift.
Lifetime management (MLEC5.6)(Level Three) You can consider the entire lifecycle of machine learning products, from deployment to maintenance and updates.
Understanding infrastructure (MLEC5.7)(Level Three) You can understand the capabilities and limitations of different infrastructures.
Programming skills (MLEC6.1) (Level Three) You can demonstrate proficiency in programming.
Version control (MLEC6.2) (Level Three) You can demonstrate a strong understanding and use of source control systems like Git.
Robust coding practices (MLEC6.3)(Level Three) You can write robust, well-documented, and maintainable code.
Non functional requirements (MLEC6.4) (Level Three) You consider non functional requirements and impact on user experience.
Code review and debugging (MLEC6.5)(Level Three) You can participate in code reviews, and demonstrate proficiency in debugging both code and statistical models.
Application development (MLEC6.6) (Level Three) You can develop applications, including front-end interfaces for machine learning models.
CI/CD (MLEC6.7) (Level Three) You can demonstrate knowledge of continuous integration and continuous deployment (CI/CD) pipelines.
API development (MLEC6.8)(Level Three) You can demonstrate proficiency in setting up and using APIs.
Development approaches (Machine Learning) (MLEC6.9) (Level Three) You can use the agreed specifications to design, code, test and document programs or scripts of medium-to-high complexity, using the right standards and tools.
Agile methods (MLEC6.11)(Level Three) You can demonstrate a strong understanding of agile methodologies like Scrum and Kanban.
Cloud fundamentals (MLEC7.1) (Level Three) You can demonstrate an understanding of the core concepts of cloud computing, including the use of cloud services like AWS, Azure, and Google Cloud.
Distributed systems (MLEC7.2)(Level Three) You can demonstrate knowledge of distributed computing principles, including multi-threading and the use of multiple servers.
Scalability (MLEC7.3)(Level Three) You have an awareness of scalability issues for large datasets and high compute.
Resource management (MLEC7.4)(Level Three) You know how to monitor resource usage and cost.
Security considerations (MLEC7.5) (Level Three) You can demonstrate an awareness of security implications in distributed systems, including data privacy and secure communication between distributed components.
Performance monitoring (MLEC7.6)(Level Three) You can set up monitoring systems to track the performance and health of distributed applications.
Fault tolerance (MLEC7.7)(Level Three) You can design fault-tolerant systems.
Data Modelling (Data) (Level Two) You can express logical and physical data models to define how a model will be built. You understand the different data model infrastructures and the limitations of each.
Machine Learning (Level Two) You can create algorithms/queries etc. that use analytical methods such as regression analysis and iteratively enhance the supervised learning models. You understand the differences between the various learning models.
Technological Specialisms (R, Python, SQL, Tableau etc.) (Level Two) You utilise associated modules and add-ins to perform complex manipulation and visualisation, data linkage and data quality. You can code to a standard to conduct work independently.
Data Automation (Level Two) You can distinguish between data analytics automation and data flow automation. You can link to and produce data flow maps that show where automation would be beneficial. You can use tools e.g. Power Query to automate data processing tasks.
Hypothesis Testing (Level Two) You can determine the correct statistical tests for hypotheses, along with whether testing should be one tailed or two tailed. You understand alpha and beta and what p-values and confidence limits mean and you know how to calculate them.
Operational Research (Level Two) You have the ability to analyse issues of concern incisively and to develop effective and systematic methods to resolve them persuasively.

Project Skills

Title Details
Business cases (WP1.1) (Level Three) You assess business requirements with stakeholders and draft business cases for your area of expertise, highlighting benefits, risks and costs and ensuring issues such as sustainability are addressed where appropriate.
Scope (WP1.2) (Level Three) You adopt rigorous scope, quality and change management practices and ensure they are adhered to throughout the team.
Reviews (WP1.3) (Level Three) You contribute to project reviews, documenting and communicating where lessons are learned.
Advice and monitoring (WP2.1)(Level Three) You advise on and monitor budgets for time, resources and other costs for data and digital project activities enforcing budget controls.
Scheduling (Level Two) You schedule project work appropriately for yourself and the team, ensuring business needs are met both within the project and in business as usual.
Refinement (Level Two) You refine the plan within your work area to take account of any authorised changes communicating actions, progress and results with project managers.
Resource identification (WP3.1)(Level Three) You identify and budget for the resources required to fulfil the project plan's requirements.
Skill acquisition and management (WP3.2)(Level Three) You plan for the recruitment of staff with additional required skill sets, liaising with HR and/or other providers to source skilled staff to fulfil project roles, onboard and manage them and their workloads.
Additional tools and resources (Level Three) You cost and acquire, deploy and contract for the support of additional tools and resources such as hardware, software, training and data sources for the course of the project life cycle.
Resource allocation (Level Two) You plan the allocation of existing resources to project work whilst effectively maintaining business as usual wherever feasible.
Project management (WP4.1)(Level Three) You manage the allocation and co-ordination of project-related activities, collaborating with project managers to establish and embed key risk management and issue resolution processes.
Pilots and testing (WP4.2)(Level Three) You lead on the scoping of testing and pilots, reporting key findings and re-assessing the expected benefits.
Implementation (WP4.3)(Level Three) You engage with project beneficiaries to co-ordinate effective roll-out.
Business change (WP5.1)(Level Three) You understand the business case for change and how data and digital can facilitate that, collaborating with project managers to define an achievable technological outcome which fosters new ways of working.
Assurance (WP5.2)(Level Three) You positively influence stakeholders, building networks and alliances and lead the focus within data and digital on customer satisfaction.
Evaluation (WP5.3) (Level Three) You ensure appropriate solutions are evaluated and viable alternatives are considered to deliver the intended business benefits.

The Professional Body Responsible for this job family is AphA. This job role profile was created in collaboration with BCS, using Role Model Plus.

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