151 to 175 of 1,245 Machine Learning Jobs in the UK

Staff ML Engineer | Agentic AI/LLMs/NLP/Python | FinTech | London (Hybrid) | £150K + Equity Company: FinTech Startup Salary: up to 150K Location: London A high-growth FinTech startup is building greenfield AI products from the ground up and looking to hire a Staff ML Engineer to lead … information • Analyse complex financial data • Generate outputs such as reports and credit memos • Validate, verify, and improve model outputs in production As a Staff ML Engineer, you’ll take ownership of designing and optimising these systems by combining: • Large Language Models (LLMs) • Classical machine learning • Rule-based systems ...

world's most recognisable consumer brands understand complex human systems and make better decisions from them. They're now looking for a dedicated ML/mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function-someone who will shape … doing Researching and experimenting with new approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied ...

world's most recognisable consumer brands understand complex human systems and make better decisions from them. They're now looking for a dedicated ML/mathematical researcher to help evolve the core intelligence behind their product. This is a foundational hire in the research function-someone who will shape … doing Researching and experimenting with new approaches to improve model performance Working with complex datasets, including behavioural and network-based structures Evaluating and comparing ML model performance using robust experimental design Incorporating academic research and theory into practical model architectures Designing and testing how model outputs can be applied ...

Staff Machine Learning Engineer – AI/ML Information Extraction Remote (Or Hybrid If London based – 2 days) Company Overview My client is a fast-growing, product-led technology business operating within a specialist professional services sector. They provide a SaaS platform used by organisations globally to improve business … with a strong focus on innovation, AI, and scalable product development. The Role My client is looking for a Staff Software Engineer – AI/ML with expertise in Information Extraction to play a key role in advancing their AI capability. This is a hands-on technical leadership role, focused ...

Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake … optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working ...

What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods … Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations ...

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote/London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based … help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction ...

Hiring: Senior ML Ops Engineer | Contract Opportunity Contract Length: 4/6Months 📅 Start Date: ASAP Rate: 500/550 GBP per day (Inside ir35) ***Must be UK based*** We’re currently supporting a leading global healthcare provider that is transforming health outcomes through insurance, clinical services, and AI-driven care … solutions. They’re looking for a Senior ML Ops Engineer to help build and scale production-grade machine learning infrastructure within a modern cloud-native environment. This is a high-impact opportunity to work at the intersection of AI, platform engineering, and cloud infrastructure ...

join a large-scale AI transformation initiative based in London. The ideal candidate will have proven experience in designing, developing, and deploying AI/ML and Large Language Model (LLM)-based solutions within enterprise environments. This role requires close collaboration with business stakeholders, ML Engineers, Product Teams, and cross-functional … Learning Prompt Engineering Data Science & Model Development Nice to Have Insurance industry experience Experience with GPT, BERT, LangChain, RAG, and Vector Databases Azure ML/Azure AI Studio exposure Key Responsibilities Collaborate with business and technical stakeholders to understand business challenges and translate them into AI/ML-driven ...

leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations … will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will ...

Head of AI & Machine Learning Up to £100k + 15% Annual bonus | Northampton | Permanent | Hybrid (minimum 2 days per week) Proactive IT Appointments are proud to be working with an exciting client looking to hire a Head of AI & Machine Learning to lead their AI strategy … This role requires strong leadership experience alongside hands-on expertise in Python and AWS, with a proven track record of building and deploying scalable ML solutions. Skills & Experience Essential: Extensive experience in people and strategic leadership. Strong communication skills, with the ability to influence both technical and non-technical audiences. ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 #erro ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 JBG81_UKTJ click apply for full job details ...

novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end‐to‐end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post‐deployment monitoring where applicable. Present findings, trade … language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands‐on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit‐learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g. ...

predictive asset maintenance to dynamic workforce optimisation and demand forecasting. You will leverage the Databricks platform on AWS to build, scale, and deploy robust ML models that integrate seamlessly with our clients' enterprise architectures (SAP, FSM, GIS, SCADA systems). Key Responsibilities · End-to-End Predictive Modelling: Design and develop … process, and analyse large-scale structured and unstructured data from diverse sources (e.g., SAP Datasphere, S3). · Algorithm Versatility: Apply a wide range of ML techniques, including time-series forecasting (e.g., Prophet, XGBoost, LSTMs), statistical modelling, Bayesian Modelling and optimization algorithms (e.g., Operations Research, Linear Programming) based on the specific ...

effective.In addition, you will use your experience to shape best practices, drive innovation, and influence broader AI and model governance frameworks.**Key Responsibilities:****AI & ML Model Evaluation*** Lead the design and execution of evaluation methodologies for LLMs, multimodal systems, AI agents, and traditional ML models.* Oversee scenario based testing, regression … Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field.* Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas.* Demonstrated success working with technical teams or senior specialists in high‐stakes ...

Python Machine Learning SQL Roles and Responsibilities: Design and develop rapid prototypes and PoCs using Python for data-driven and AI/ML use cases. Build, train, evaluate, and fine-tune machine learning models for structured and unstructured data. Perform data analysis, feature engineering, and experimentation … extraction, transformation, and analysis from relational databases. Integrate prototypes with APIs, data pipelines, and visualization tools when required. Translate business problems into analytical and ML solutions. Collaborate with cross-functional teams to refine requirements and iterate on prototypes. Ability to work independently and manage multiple tasks simultaneously. Flexibility to adapt ...

Python Machine Learning SQL Roles and Responsibilities: Design and develop rapid prototypes and PoCs using Python for data-driven and AI/ML use cases. Build, train, evaluate, and fine-tune machine learning models for structured and unstructured data click apply for full job details ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

across SBS products and client engagements. The successful candidate will combine deep technical expertise with strategic leadership, driving the development of scalable AI/ML models, influencing product innovation, and enabling clients to unlock value from their data. Location: Greater London, UK Hybrid: Flexible Onsite Schedule Responsibilities: Data Science Leadership … environments (MLOps) Product & Innovation Partner with Product, Engineering, and Architecture teams to embed AI capabilities into SBS solutions Identify opportunities to leverage AI/ML to enhance banking products and client outcomes Drive innovation through experimentation with emerging technologies (e.g., GenAI, LLMs, predictive analytics) Client Engagement & Stakeholder Management Engage with ...

science team within their R&D function. This is a great opportunity to join at an early stage and help shape how data and machine learning are used to deliver real value to customers. As a Data Scientist, you’ll join a newly formed scrum team alongside Data … quantitative field Around 5+ years’ experience in a data science role, with a strong focus on machine learning Strong Python programming skills ML Ops experience Experience working with version control systems (e.g. Git) Exposure to cloud platforms and containerisation would be advantageous Strong communication skills in English; additional ...

Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. You'll work across the full ML lifecycle, collaborating with data, engineering, and product teams to turn ideas into robust, scalable solutions. Responsibilities: Develop, train, and optimise machine learning models … support business and technical objectives. Build and maintain data pipelines, ensuring high-quality, reliable data for model development. Deploy ML models into production environments and monitor their ongoing performance. Work closely with engineers and analysts to integrate models into wider systems and applications. Evaluate model accuracy, stability, and scalability, implementing ...

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well-established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping ...

Machine Learning Engineer (MLOps Python LLM AWS) London/WFH to £90k Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be progressing your career in a hands-on technical leadership role ...

fast-paced, collaborative environment that values both analytical rigour and commercial impact. What you’ll do: Key responsibilities: Contribute to the full ML lifecycle including model training, evaluation, versioning, deployment, and iterative improvement for a suite of text-based classification models. Assist in the development of new product concepts Evaluate … validate new data sources for suitability, quality, and bias in ML training pipelines Assist in developing and implementing efficient strategies for creating high-quality labelled training datasets, leveraging automation, weak supervision, and active learning techniques Design, implement, and maintain rule-based data processing logic leveraging regex and other pattern ...