1 to 25 of 96 Contract Machine Learning Jobs in the UK excluding London

Role : Machine Learning Infrastructure Developer Location: Cambridge, UK (Hybrid ) Duration: 12 Months Responsibilities: Create robust, flexible, and scalable machine learning tooling and infrastructure that supports research scientists in leveraging large-scale internal infrastructure (e.g., source control, distributed compute clusters, data storage). Work collaboratively as part … signal processing experience . Experience collaborating closely with research users or internal customers to deliver robust, stable, and scalable tooling. Experience writing scalable ML pipelines or tooling used by research teams. Familiarity with Linux or Windows shell scripting. ...

Data Annotator Analyst – AI/Machine Learning – Expedia Group Location: London (hybrid working) Duration: End of 2026 Pay: £223.18/day About the Role We are looking for a Data Annotator/Data Analyst to support the development and evaluation of AI and machine learning solutions. … consistent, and accurate annotations following defined guidelines Analyze annotated data to identify patterns, issues, and opportunities for improvement Work closely with data scientists and ML engineers to refine annotation strategies Use annotation tools (e.g., Label Studio or similar) to manage and review datasets Perform basic data processing and validation using ...

Intelligence/Machine Learning applied to cyber security . This is a research-led role , focused on the security of AI/ML systems , exploring emerging threats, developing novel approaches, and shaping future cyber capability. You will work in an environment where problems are genuinely complex and often … have no off-the-shelf solutions . What You'll Be Doing Conducting hands-on AI/ML research in cyber security, with particular focus on the security of AI/ML systems Designing and prototyping innovative solutions to emerging cyber threats Translating research into practical outputs , including prototypes, reports ...

Title: Senior Scientist - Cyber AI (Artificial Intelligence)/ML (Machine Learning) Research Location: Newport - Minimum of 3 days on site Full Time: 35 Hours Per Week Employment Type: Contract - 12 Months Belcan are currently working with a leading client in the aerospace/defence industry, to support them … Intelligence/Machine Learning, or Maths/Computer Science with AI modules. Recent PhD or Masters relevant to "Cyber Security of AI ML". Experience: Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Research Skills: Excellent ...

Inside IR35 A global life sciences organisation is seeking a Senior Data Engineer to join a highly technical data platform team working on ML-adjacent initiatives. The environment is cloud-native and highly data-intensive, with a strong focus on unstructured data and scalable pipelines. This is a data engineering … role rather than an ML Engineer or Data Scientist position. The successful contractor will be comfortable operating close to machine learning workflows, particularly working with PyTorch in a cloud environment, but the core responsibility remains data engineering at scale. The RoleYou will be responsible for designing, building ...

models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Development Build and optimize workflows using Matillion, Alteryx, and Qlik Visualization & Reporting Develop dashboards and reports using Power BI Innovation Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands ...

working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test … Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability ...

/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 ...

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 ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

satisfaction from day one. Experience in building reusable AI components and frameworks for enterprise-scale deployments.Your CV must evidence strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). You will have strong statistical and analytical skills. You will be experienced in a wide range of Data Science techniques (e.g. … ML, Optimisation, Simulation, GenAI, etc.). You will have demonstrated an ability to take models from design through to production deployment, including performance optimisation, monitoring, and integration into business workflows beyond proof-of-concept or prototype stages. You will have significant experience in similar operational research roles, with a proven ...

vector search technology. Collaborate with cross-functional teams to integrate AI models into products. Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying … models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine learning, or deep learning. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Experience with large language models (GPT, BERT, etc. ...

engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs. You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale. Key Responsibilities Own and manage the product vision, roadmap, and backlog for data platform capabilities … Ensure data products are scalable, secure, cost-efficient, and aligned with best practices Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases) Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers Balance short-term delivery with long-term platform strategy Monitor platform ...

tools and ways of working.You will extract and analyse data from multiple sources, create meaningful insights and explore the latest methodologies within the machine learning and natural language processing space. You will share your expertise and present any key findings to stakeholders at BHF. About you With … qualification in a quantitative field or equivalent industry experience, you’ll have a strong understanding of data science techniques (advanced analytics and machine learning) covering areas such as predictions and natural language processing.You’ll have experience of working with data- either statistical modelling or using a programming language ...

large-scale digital product environment. This role focuses on enriching, standardising, and maintaining product attributes within a unified taxonomy to support classification systems, machine learning workflows, and improve catalog quality at scale. Key Responsibilities Analyse large datasets (Excel, Google Sheets, SQL, or scripting) to identify exact and fuzzy … attributes (e.g., brand, category, specifications) following governance guidelines Support cross-taxonomy mapping, vertical expansion, and front-end taxonomy design Collaborate with engineering teams on ML classification, annotation, and model output evaluation Communicate progress clearly and proactively with stakeholders Required: 2+ years’ experience developing taxonomies and/or ontologies for front ...

research, working to unlock insights that accelerate discovery and improve decision-making across R&D. With a culture that values curiosity, collaboration and continuous learning, this is an ideal environment for someone eager to shape the future of data-driven science. Your new role This is initially … analysis using AI, NLP and advanced analytics tools. Develop and maintain external information endpoints aligned with FAIR data principles to support scientific interoperability. Apply machine learning and large language models to improve information retrieval, automate content classification and enhance knowledge discovery. Contribute to the design and evaluation ...

creative industries across film, TV, games, and immersive Virtual and Augmented/Mixed Reality. This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world-leading quality obtained via our unique CAMERA Studio facilities. Project Focus We have … Bristol, Bath Spa, and the West of England (UWE), including technical and creative collaborations. You will also join the vibrant Visual Computing and Machine Learning, and AI groups at Bath. The VC group comprises around 30 doctoral students, 10 post-doctoral researchers, and 8 academics, and presents many ...

UMBRELLA Role Overview We are seeking a highly skilled MLOps Engineer with strong expertise in AWS-native services, infrastructure automation, and end to end ML workflow operations. The ideal candidate will have deep experience with CloudFormation, SageMaker, Glue, Lambda, Spark, and Python, along with solid understanding of machine learning concepts, data pipelines, model monitoring, and production deployment. Key Responsibilities Design, automate, and maintain scalable ML infrastructure using AWS CloudFormation and AWS-native services. Build, deploy, and manage ML models on Amazon SageMaker (training, tuning, hosting, endpoints, pipelines). Develop and optimize distributed data processing workflows using Apache Spark ...

/ML Technical LeadLocation: Worthing (1 day pw onsite required)Daily Rate: £500 - £600 (inside IR35 via umbrella)Contract Length: 3 Months initially Are you ready to lead the way in AI and Machine Learning Our client is on the lookout for an experienced AI/ML Tech … ensuring governance models and delivery patterns are scalable for future use cases. Key Responsibilities: Develop and implement a practical architecture layer for AI/ML projects, turning visionary concepts into actionable patterns.Define platform setup, governance, and delivery approaches that support the expansion of AI/ML capabilities.Collaborate with cross-functional ...

Intelligence/Machine Learning, or Maths/Computer Science with AI modules. Recent PhD or Masters relevant to "Cyber Security of AI ML". Experience: Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Research Skills: Excellent … report writing and presentation skills. Excellent spoken and written English. Technical skills: Technical specialist in AI/ML/Data Science techniques. Software Development: Strong Python skills. Academic research background PHD/Masters within the last 5-10 years Deep AI/ML algorithm and application knowledge (ideally Cyber aspects ...

solution design, proposal input and client presentations.* Mentor junior data scientists and analysts, contributing to capability development.* Maintain awareness of emerging AI/ML technologies, tools and methodologies.Required Skills and Experience* AI Project Lifecycle: Proven experience delivering full-lifecycle AI projects, from research and prototyping to production deployment. Strong communication … Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.* NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models.* AI Solution Development: Experience architecting ...

communicate model selection, deployment strategies and the rationale behind technical decisions, fostering transparency and trust. Mentor and develop team members, promoting innovation, continuous learning, and professional growth within the London Data Science team. Maintain rigorous quality assurance and governance protocols for all AI projects, ensuring compliance with ethical … translating technical insights into business value. Experience in AI governance, ethical frameworks, and regulatory compliance. Skills: Advanced proficiency in data science techniques, including machine learning, optimisation, simulation, deep learning, and generative AI. Comprehensive understanding of the mathematical foundations underpinning AI algorithms. Strong stakeholder engagement and relationship-building ...

data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication, and documentation skills. Familiarity with AI/ML data pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop ...

evaluates appropriate data sources to support predictive and analytical use cases. Advocates standards and best practices for developing, evaluating, deploying, and monitoring analytics, ML, and AI solutions. Financial Management Advises on financial planning, budgeting, and cost optimisation for data platforms and solutions. Develops financial forecasts and monitors expenditure against agreed … integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance Power BI, Azure ML, ML/AI, Generative and Agentic AI Strong Experience End-to-end implementation of cloud data platforms Advanced Snowflake capabilities and cost optimisation Complex data ...