26 jobs found

Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working closely with hardware accelerators on mobile devices. They combine research depth with practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion and reconstruction problems. Work hands-on with graphics-focused pipelines, considering performance on mobile accelerators. Contribute to research outputs, including high-quality publications suitable for leading conferences. Collaborate with engineers and researchers to translate experimental work into product-ready solutions. Your Skills & Experience Strong experience in computer vision, machine learning, and graphics-focused problem solving. Practical application of Generative AI techniques, including diffusion models, GANs, and related reconstruction methods. Experience working close to hardware, accelerators, or low-level optimisation, particularly in mobile or embedded environments. Comfortable operating in a research-driven setting, with the ability to produce well-documented, high-quality technical outputs. An open technical profile, whether from an engineering or research background, with evidence of impactful work. How to Apply If you feel this role applies to your experience and skillset, please feel free to apply below.

Senior AI/ML Engineer (LLM's / RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office.- Must have deep experience in LLM development and deployment. Your new company You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale.Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future.You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice.You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability.It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line.It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation.You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development.You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards.You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead ML Engineer (12-month FTC) £80,000 - £90,000 Remote (UK Based Only) This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain, and improve models in production. Building APIs and data products that enable ML solutions to be consumed across the business. SKILLS AND EXPERIENCE The successful Lead ML Engineer will have the following skills and experience: Commercial experience delivering ML solutions end-to-end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders and translating business problems into technical solutions. Experience building or integrating APIs, such as with FastAPI, is beneficial. BENEFITS The successful Lead ML Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending on experience HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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.