18 jobs found

Senior Data Science Consultant £60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity Tailored development - Grow your career with personalised learning and development opportunities Person Specification Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.

Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester

Data Scientist (ML Engineer) Salary: £49,387 - £56,515 per annum Location: Manchester Vacancy Type: Permanent Closing date: 18/06/2026 The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health and social care. We have modern offices in Manchester city centre and Stratford, London. Please take into consideration that you may be required to commute to one of our offices for business purposes if necessary. Job overview Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don t delay your submission. Main duties of the job We re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you ll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You ll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you ll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. Person specification Essential: Holds highly developed specialist knowledge and expertise acquired through a master s degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable: Artificial intelligence certification. Working for our organisation The Architecture & Data team sits at the heart of NICE s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension Secure your future with one of the most rewarding pension schemes in the UK Flexible working Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts Save on shopping, dining and more with a Blue Light Card Time to recharge Start with 27 days annual leave plus bank holidays Inclusive staff networks Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud we celebrate diversity Tailored development Grow your career with personalised learning and development opportunities If you feel this is the type of environment you will enjoy working in, apply today! To Apply If you feel you are a suitable candidate and would like to work for The National Institute for Health and Care Excellence (NICE), please click apply to be redirected to our website to complete your application.

Mid-Level Data Scientist Knowsley - Hybrid The Company They are a well-established UK retail business undergoing a significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation mode. The Role You will join a small but growing Data Science team, working closely with the Data Science Lead and one other Data Scientists. This is a hands-on role focused on building strong foundations and scaling existing use cases across the business. Key responsibilities include: Designing and developing customer-focused data science solutions across segmentation, lifetime value, forecasting and targeting Taking models end to end from problem definition through to deployment and monitoring Working with stakeholders to translate business questions into robust modelling approaches Partnering with engineers and analysts to productionise models and embed them into customer journeys Contributing to the development of a new Data Science platform and best practices as the team matures Your Skills & Experience To be successful in this role, you will bring: Strong commercial experience in Data Science or Machine Learning within a real-world environment Advanced Python skills for modelling and analysis, with solid SQL capability Experience delivering end-to-end data science solutions, including deployment Exposure to forecasting, statistical modelling or applied machine learning use cases Comfort working in a team that is still evolving its Data Science maturity Clear communication skills and the ability to build credibility with non-technical stakeholders Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential. What They Offer The chance to shape a growing Data Science function and influence technical direction High-impact, customer-facing projects with clear routes into production Strong long-term progression as the data and AI capability continues to scale How to Apply Apply now to learn more about this Mid-Level Data Scientist opportunity and how it could fit into your next career move.

Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Senior AI Engineer - Consulting Office location to choose from: Glasgow, London or Manchester Hybrid Working - 1-2 days per week in the office 70,000 + Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant / Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions. The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance and best practices Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP Collaborating with technical and non-technical stakeholders to deliver measurable business value Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry A strong consulting mindset with experience engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure, AWS or GCP You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package. Senior AI Engineer / AI Engineering Consultant / Generative AI Consultant / Senior Machine Learning Engineer / AI & ML Consultant / MLOps Engineer / LLM Engineer / AI Engineering Consultant / Senior AI Engineer / Generative AI Engineer / AI Solutions Architect / Data & AI Consultant / AI Solutions Consultant / Cloud AI Engineer / Applied AI Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

DATA ANALYST - 50PH INSIDE IR35 - 60% ONSITE IN FILTON - 12 MONTH CONTRACT A leading aerospace organisation is seeking a Data Analyst / Health Engineer to support the development of fleet diagnostic and predictive maintenance capability across a global aircraft in service environment. This role sits within an advanced engineering and data function, working directly with aircraft operational data to improve reliability, system performance and maintenance decision making. The successful candidate will work across engineering, design and fleet support teams to deliver high impact analytical outputs that directly influence aircraft health monitoring and predictive maintenance strategy. Key Responsibilities: Contribute to development of fleet diagnostic and predictive maintenance models Support technical investigations using in service aircraft data Deliver structured data studies for engineering and design office stakeholders Translate complex operational datasets into actionable engineering insight Support wider data management and analytics transformation initiatives Improve understanding of in service fleet behaviour and system performance Essential Skills & Experience: Strong experience with Palantir Foundry / Skywise Advanced Jupyter Notebook capability Jira and Github in engineering or data driven environments Strong data analytics and visualisation capability Confident stakeholder management across technical teams Delivery focused, independent working style Desirable Experience: Skywise Predictive Maintenance (SPM) Aircraft systems or maintenance engineering understanding Experience in fleet diagnostics or predictive maintenance environments Exposure to AOG / operational disruption contexts Familiarity with structured maintenance processes and reliability frameworks Machine learning or AI applied to engineering datasets This is a high impact opportunity within a leading aerospace environment, contributing directly to the evolution of predictive maintenance capability on in service aircraft. Confidential discussions available for suitably experienced candidates.

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Job Title: Data Science Analyst Location: Peterborough (hybrid working - 1 day in office) We have an exciting opportunity at Markerstudy Group for a Data Science Analyst. You will be responsible for providing data science and analytics solutions to support our strategic roadmaps and customer propositions. Working with a variety of teams and stakeholders, you will have strong communication skills allowing the business to adopt and embed your findings. Our Group Data Science team is commercially focused and driven by creating real value from data. We are a growing team of around 15 data science professionals, working across every part of the commercial business to help identify, build, and scale data-driven opportunities. Sitting within the Group Data Science function, this role works closely with a wide range of internal and external stakeholders, delivering data products, insights, and analytical services across pricing, partnerships, IT, insurers, customer insight, digital, marketing, and contact-centre teams This is a great opportunity for you to accelerate your career in Data Science, we'll provide you with all the relevant technical training around our data assets and technology stack, in return we ask that you are naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our team environment where you'll learn and develop with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value to the wider Markerstudy Group Key Roles and Responsibilities Drive commercial benefit and solve business problems using data Build strong, collaborative relationships with stakeholders across Markerstudy Group Explore large structured / unstructured data from a variety of sources Explore, understand and visualise data using leading tools and technology Maintenance of our Data Products, Frameworks and Tools Understand End-to-End Data Science / Data Product lifecycles Working with other Data Scientists, analytics professionals on Projects What you can expect to be working on: Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong communication skills, and the ability to "story-tell" to our stakeholders and customers, can adapt for audiences of varying technical abilities. Strong numerical, a solid understanding of mathematical concepts and principles. Resilience can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running and deploying Azure DevOps pipelines would be advantageous Behaviours: Works collaboratively and contributes positively as part of a team Self-motivated with a drive to learn, develop and show ownership Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master s or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27639 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.

Head of AI & Machine Learning London (Hybrid - 2 days on-site) £180,000 base + equity + bonus The Opportunity I'm working with one of the UK's most exciting AI scale-ups, a forward-thinking business that's just secured a significant Series B funding round. They're building cutting-edge, applied AI technology that's already making a real impact across industries, and now they're looking for a Head of AI & Machine Learning to lead the next stage of growth. This is a chance to step into a senior leadership role where you'll shape the entire AI strategy and grow and inspire a high-performing team The Role As Head of AI & Machine Learning, you'll sit on the senior leadership team and play a pivotal role in setting the technical direction of the company. This role blends hands-on technical expertise with strategic leadership. You'll: Own and drive the AI/ML strategy across the organisation. Lead and scale a world-class team of data scientists and ML engineers. Guide research and development of advanced machine learning and generative AI solutions. Partner with product and engineering teams to deliver AI-driven features into a rapidly scaling platform. Keep the company ahead of the curve on emerging AI trends and represent them externally as a thought leader. What They're Looking For A proven leader with experience heading up AI/ML teams in a high-growth tech environment. Deep technical expertise across machine learning, deep learning, and ideally generative AI. Strong ability to combine strategy with execution, from setting vision to delivering production-grade AI systems. Excellent stakeholder skills, with experience working closely with product and engineering leaders. A passion for building teams, driving innovation, and scaling applied AI solutions. What's available £180k+ salary with equity upside. Backed by top-tier investors, huge runway for growth. A platform with global ambitions, scaling fast. Hybrid flexibility (2 days a week in central London). RSG Plc is acting as an Employment Agency in relation to this vacancy.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Role : Data Analyst Location : Nantgarw, Cardiff - 3 days per week onsite Salary : £30 per hour via umbrella Length : 12 months with potential for extension Role Summary/Purpose Me client is a digital industrial business with its ability to harness large streams of data that are providing incredible insights and in turn, real operational value for customers. We are seeking a highly motivated individual to contribute to our digital future. You will work within the Sales, Inventory & Operations Planning Team to develop and apply algorithms to transform raw data into actionable insights. As the Data Analyst you will possess analytical skills, a structured approach to problem solving, and statistical knowledge. Our job is to work alongside the business to develop, test and deploy analytics or software which provide significant insights and improvements to the business. We also develop custom in-house tools to help us deliver our projects efficiently and effectively. We support a wide range of internal customers and every project is different and gives the opportunity to learn something new.? Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding a self-service capability for operational business users including automating as far as possible to reduce manual intervention and drive efficiency across the business. Support analytics systems including the development and maintenance of systems, processes, and algorithms. You will contribute to the integration, enhancement, and deployment of our analytical suite to give our leadership visibility of how the business is performing to make timely, data-driven decisions. Support with capacity modelling, maintain and develop new and existing forecasting demand models based on business insights research & analysis Owning a project; build engagement, influence relevant stakeholders, and deliver change Work closely with Lean and Operations teams, playing a crucial role in our journey to operational excellence Participate and support digitisation projects Research and implement new statistical, machine learning and optimization approaches. Understand best practice and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new challenges Self-starter able to operate autonomously with minimal guidance to consistently achieve high quality output Detail-oriented, while also constantly prioritizing needs with resources available; able to support multiple projects and/or business functions at once Excellent communication skills, interacts with multiple levels and functions with the distribution organization, and able to manage relationships Able to thrive in a small core team and frequently interact with cross-functional teams Strong knowledge in statistical modelling Ability to translate complex datasets to understandable trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding and working knowledge of capacity & supply chain planning Working knowledge of programming/scripting languages (Python, R, or similar)

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in London, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern East End office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern Edinburgh city centre office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.

We are currently seeking a Lead AI Engineer to work with our public sector client 6 months contract £700 - 750 inside IR35 Location: London Bristol or Manchester / Hybrid / Flexible on remote working The ideal candidates will have a proven Artificial intelligence engineering background within public sector ideally holding active SC clearance or have government project experience Skills & responsibilities: Ideating and developing one or more AI projects. These could be fully-fledged internal applications the incubator is building. Alternatively, they might be services we're building for the government's biggest missions in collaboration with other departments, where we work closely with technical counterparts. Writing and reviewing code daily. Collaborating with cross-functional teams and senior stakeholders to quickly understand customer needs and translate them into pragmatic technical solutions leveraging AI. Leading the design and establishment of frameworks, tools and processes to responsibly develop, deploy and monitor AI products. Evangelising best practices in applied AI across government. Staying on top of the latest developments in AI, including new models and paradigms. Proficiency in Python. An understanding of deploying and monitoring such systems in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI. Nive to have: Building AI agents, or products that rely on AI agents Developing and working with tools and interfaces for AI applications (e.g. Anthropic's Model Context Protocol) Training traditional Machine Learning and Deep Learning models Hands-on experience with containerisation technologies such as Docker. Experience designing software services with respect to infrastructure, considering dependencies like databases and message queues, cloud environments, and pre-existing services with which yours must collaborate. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work to achieve the best possible outcomes.