51 to 75 of 365 Machine Learning Jobs in the South East

/ML Data Scientist/ML Engineer - 3-Month Contract Location: London or Edinburgh (Hybrid) Sector: Leading UK Bank Contract: 3-month initial contract (potential extension) Overview A leading UK bank is seeking an experienced AI/ML professional to join their cross-functional delivery team. This role suits someone … with strong hands-on technical expertise and a track record of delivering business-focused AI/ML solutions, including LLM-based applications. You'll work closely with data scientists, software engineers, and ML engineers to design, experiment, validate, and deploy production-grade AI systems for customer-facing applications. Key Responsibilities ...

integrating advanced machine learning directly into their products to outsmart attackers at scale. The Role We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). … will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure. Key Responsibilities: Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring. Integrate ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

Mentor and coach junior data scientists and analysts, fostering technical excellence and professional growth. Stay current with emerging technologies, tools, and methodologies in AI, ML, and data science. Required Technical & Professional Qualifications Full AI Project Lifecycle Experience: Proven experience managing the complete AI project lifecycle-from research and prototyping … strong communication and stakeholder management skills. Advanced Analytics Expertise: Proficiency in Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data ...

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables … growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data ...

Software Engineer (C#, C++ or Python, ML, STEM Degree)Oxford - 3-4 days per week in office.£45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher).- Can work in their Oxford head office 3-4 days week. Your new company … must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Your new role In this role you'll be tackling engineering challenges that most organisations simply can't touch ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate model accuracy … manager, ideally leading cross functional teams in a SaaS environment. Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features. • Agile Expertise: Deep understanding of Agile principles and Scrum methodology. Scrum Master or similar certification is a plus. • Cross Team Collaboration: Proven experience ...

engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate model accuracy … manager, ideally leading cross functional teams in a SaaS environment. Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features. • Agile Expertise: Deep understanding of Agile principles and Scrum methodology. Scrum Master or similar certification is a plus. • Cross Team Collaboration: Proven experience ...

engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate model accuracy … manager, ideally leading cross functional teams in a SaaS environment. Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features. • Agile Expertise: Deep understanding of Agile principles and Scrum methodology. Scrum Master or similar certification is a plus. • Cross Team Collaboration: Proven experience ...

engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate model accuracy … manager, ideally leading cross functional teams in a SaaS environment. Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features. • Agile Expertise: Deep understanding of Agile principles and Scrum methodology. Scrum Master or similar certification is a plus. • Cross Team Collaboration: Proven experience ...

looking for a Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building. Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models … Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics YOUR SKILLS & EXPERIENCE Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples ...

client within the Aviation Sector who are looking for a number of Data Scientists to join their team for an AI/Machine Learning Programme, working on Maintenance, Repair and Overhaul, improving systems and looking at automation. The project is estimated to last over two years, and will … experience with Python/Tensor Flow and Pytorch and have proven experience taking models into production. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ...

communication Other: Mapping/location-based services There's also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don't need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS … Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands ...

position requires strong technical capability combined with stakeholder engagement and risk awareness. Key Responsibilities Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts … stakeholder engagement and business risk considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...