1 to 25 of 40 Contract Machine Learning Jobs in the UK

transform credit risk management and financial data analytics. The Role This is a development-focused position where you'll be responsible for data extraction, analysis, and model development using ML, DL, and LLMs . You'll clean and manipulate complex financial datasets, build predictive and prescriptive models, and implement them in production environments. Key Details Start Date: ASAP Duration: TBD …/day Responsibilities of a GenAI Specialist Develop and deploy AI models, focusing on GenAI and LLMs . Extract, clean, and analyse structured and unstructured data. Implement scalable ML/DL solutions through the full model lifecycle. Collaborate with cross-functional teams to drive AI innovation. Present analytical findings to business and technology stakeholders. Requirements for a GenAI Specialist: Master … s/PhD in Computer Science, Data Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools More ❯

AI/ML Data Science Developer Start: ASAP Duration: 6-12 months Location: 2-3 days on site in Stevenage Pay: inside IR35, up to £510 per day We're seeking an experienced Senior AI/ML Developer to join an innovative team shaping next-generation solutions in the Telecoms sector. Key Responsibilities - Design, build and deploy AI/ML … data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML solutions into wider business systems and applications - Create robust documentation for pipelines, models, and analytical workflows - Stay abreast of AI/ML advancements and best practices - Collaborate with cross-functional … teams and support junior staff Your Profile Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to More ❯

with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

AI/ML Data Science Developer Location: Hybrid Hertfordshire (preferred) or London Start Date: August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project … driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and … tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ML and data science development. Proficient in Python, R, and relevant ML frameworks/libraries (e.g. More ❯

end and back-end systems to ensure they align with our strategic direction towards sustainable energy solutions. AI & Machine Learning Implementation: Design, build and deploy AI/ML models and algorithms to extract insights from energy data, optimize systems, and create intelligent features that enhance customer experience and operational efficiency. Full-Stack Development: Architect and develop end-to … end systems, ensuring seamless integration between components and optimal performance across the technology stack. Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to Centrica's position at the forefront of the energy industry. Cross-functional Collaboration: Work closely with Innovation More ❯

Learning Software Engineer to join their cutting-edge Music & Audio Machine Learning Lab. This role is ideal for an experienced engineer passionate about AI/ML in creative applications. You'll contribute to the full lifecycle of innovative ML tools, from research and prototyping to deployment, in a fast-paced and collaborative environment. Key Responsibilities: Design … and develop AI/ML-driven software products for music and audio applications Build infrastructure to support ML pipelines and full lifecycle development Work with modern cloud technologies and large-scale data environments Collaborate closely with a dynamic team of engineers and stakeholders Technical Skills & Requirements: 5+ years of professional experience in software engineering Strong proficiency in Python and one … additional language (e.g. C++, Java, Scala) Experience with ML frameworks (e.g. PyTorch, TensorFlow), and scientific libraries (NumPy, SciPy, scikit-learn) Familiarity with audio data (or video), able to handle large binary files Proven experience in at least one of: ML model deployment, ML Ops, AI agents, or LLM integration Expertise in Linux, Docker, and cloud platforms (AWS, GCP, etc.) Familiarity More ❯

institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and … institutions, governments, and corporations. With significant investment in technology and innovation, the organization offers a platform for engineers to work on everything from enterprise platforms to emerging tech like machine learning, cybersecurity, and cloud development. We foster a technology culture that values diversity, encourages professional growth, and supports long-term career development. With access to global resources and More ❯

data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain … a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. … BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving challenges. More ❯

for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML models, cloud computing, and scalable system architecture. This role requires expertise in architecting intelligent agents, optimizing cloud-based deployments, and integrating AI services into enterprise applications. Key Responsibilities: Architect and … ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event-driven and serverless architectures … governance. Required: 5+ years of experience in solution architecture with a focus on AI, APIs, and cloud technologies. Strong hands-on experience with AWS services related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. More ❯

CD tools. Solid understanding of OOP, design patterns, and clean code. Async programming (e.g., asyncio, Celery). Experience with RabbitMQ, Kafka, GraphQL, gRPC, or WebSockets. Background in AI/ML or data-intensive systems. Cloud/architecture certifications (e.g., AWS/Azure Architect, TOGAF). Desirable Skills: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of … data science and machine learning concepts and tools. If you have the relevant skills and experience, please apply promptly and we will be in touch to discuss your application further. Please note that due to the volume of applications we receive, it is not possible to provide feedback on all applications so if you have not heard from More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) UI Technology - React or Angular, TypeScript, CSS, Micro Frontend Development, and JavaScript Backend Technology - Java/Spring, Kafka, NoSQL (MongoDB, Cassandra) The following skills and More ❯

Data Scientist - AI/ML, Python, Scripting, Cyber Security Up to £495 per day (Inside IR35) London (3 days per week in London office) 6 Months initial contract My client is an instantly recognisable Insurance firm who are looking for a Data Scientist with demonstrable experience in Artificial Intelligence (AI) and Machine Learning (ML) accompanied with Python scripting … material risk to the organisation, and to propose appropriate controls. Key Requirements: Demonstrable experience in Data Science, with particular focus on Artificial Intelligence (AI) and Machine Learning (ML) Proficiency in Python/Bash scripting Ability to perform enhanced Risk assessments of where AI is being utilised Capability of proposing appropriate controls where material risk to the organisation is … approach towards hybrid working Full eligibility to work in the UK without restrictions (no sponsorship available) Nice to have: Demonstrable experience with LLMs and strong understanding of AI/ML frameworks and familiarity with TensorFlow/PyTorch etc Degree educated in Computer Science/AI related subjects Previous experience in the Insurance industry Previous experience of working within Cyber Security More ❯

images and text sources. The ideal candidate will have a strong background in machine learning, particularly within intelligent document processing, and be confident working with both traditional ML and generative AI techniques. Key Responsibilities: Build and deploy production-ready ML models focused on document processing, including OCR, NLP, and generative AI. Work closely with business stakeholders to understand … requirements and deliver tailored solutions. Collaborate with product managers and technical teams throughout the development lifecycle. Design, test, and iterate on new and existing ML features and components. Develop robust Python-based systems using a combination of ML/OCR tools and frameworks. Support the full lifecycle of ML applications, from development through deployment, monitoring, and maintenance. Required Experience: Proven … experience in Document AI/Intelligent Document Processing , using both traditional ML methods and Generative AI , preferably with open-source models. Solid Python programming skills with a focus on ML, NLP, deep learning, generative AI, and image/OCR processing. Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, Spacy, OpenCV, Regex , or similar. Strong awareness of More ❯

understand new technology areas Communication skills Ideally you will have; Understanding of propulsion systems Understanding of materials and material properties Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc Education: Programming, Electrical, Mechanical, AI, Software To apply for this role please send your CV to (url removed) This role is Inside IR35. Your CV More ❯

understand new technology areas Communication skills Ideally you will have; Understanding of propulsion systems Understanding of materials and material properties Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc Education: Programming, Electrical, Mechanical, AI, Software To apply for this role please send your CV to (url removed) This role is Inside IR35. Your CV More ❯

models. Contract Overview We are seeking an experienced and highly motivated Compiler Engineer (Contractor) . You'll collaborate with our in-house engineering team to deliver a production-ready ML backend —including compiler, runtime, debugger, and a functional simulator—for our next-generation Optical Tensor Processing Units (OTPUs). This role requires deep technical expertise in compiler construction, runtime systems … C/C++ programming, and ML framework internals. Key Responsibilities Compiler Development Design and build a compiler extensible to future optimisation patterns such as op fusion, layout optimisation, tiling, and scheduling. Debugger & Diagnostics Implement optional runtime assertions, compile-time dump mechanisms, TensorBoard timelines, and JAX I/O callback support. Functional Simulator Develop a simulator that mimics our kernel-space … hardware availability. Required Skills & Experience 5+ years of professional experience in C/C++ software engineering Strong background in compilers , runtime systems , and low-level optimisations Deep familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow) and their execution models Experience with high-performance computing or hardware-software co-design Strong problem-solving skills with a creative and pragmatic mindset Comfortable More ❯

and deploying machine learning & GenAI models. Hands-on experience with advanced AI technologies, including Generative AI and Agent-based AI systems. Proficiency in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Extensive experience with NLP techniques and libraries (e.g., NLTK, spaCy, Gensim, Transformers). Experience with version control systems (Git) Experience with AWS. Knowledge More ❯

adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems Understanding of materials and material properties Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc. Education Required: Programming, Electrical, Mechanical, AI, Software. More ❯

adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems Understanding of materials and material properties Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc. Education Required: Programming, Electrical, Mechanical, AI, Software. More ❯

/Cloud Architect certifications. Cyber & Data Security Understanding: An appreciation for the architectural implications of application design and implementation. Modern Data Capabilities: Knowledge of Data Lake, Data Warehouse, and Machine Learning architectures. QA Best Practices: A solid understanding of data quality concepts and practices. Why Join Us? This is your chance to work in a stimulating environment where More ❯

Use SQL to query structured databases and integrate with RAG or knowledge ingestion pipelines. Essential Skills Proficiency in Python programming. Experience in building multi-step intelligent systems. Knowledge of machine learning and artificial intelligence. Familiarity with frameworks like LangChain and CrewAI. Additional Skills & Qualifications Experience with agent collaboration (A2A) or multi-agent task routing systems. Familiarity with MCP More ❯

be the senior voice on all things data architecture, tasked with creating a Data Catalogue, implementing data governance tooling, and laying the strategic and technical groundwork for a future ML Ops pipeline. You'll work closely with an Enterprise Architect and key stakeholders to create structure, define workstreams, and bring external data sources into the fold to support predictive regulatory … and enterprise stakeholders to establish data ownership and governance. Enable a Data-Driven Operating Model (DDOM) – embedding data literacy and strategy across the organisation. Support the foundations of an ML Ops environment for predictive analytics and behavioural insight. Liaise confidently across all levels – from technical teams to senior leadership. About You: Proven experience as a Data Architect within a regulated … Comfortable working in ambiguous environments and guiding organisations through early-stage discovery. Desirable: Certifications in Data Architecture, Governance, or Cloud. Experience working with or implementing DDOM frameworks. Understanding of ML Ops tools (e.g., MLflow, SageMaker, Kubeflow) and data privacy regulations (GDPR, CCPA). More ❯

Leeds or Newcastle hubs. This is a 3 month inside IR35 contract. Rate - £400 per day. Responsabilities: Python: Developing and enhancing functionality to the Feature Vector Generation (FVG) and Machine Learning Framework (MLF) packages, used to handle dataset generation for model training, and model training respectively. Data Science knowledge is desirable for the above as well, but knowing More ❯

Leeds, Manchester or London. This is a 3 month inside IR35 contract. Rate - £320 per day. Responsabilities: Python: Developing and enhancing functionality to the Feature Vector Generation (FVG) and Machine Learning Framework (MLF) packages, used to handle dataset generation for model training, and model training respectively. Data Science knowledge is desirable for the above as well, but knowing More ❯

adapt/understand new technology areas - Communication skills - Understanding of propulsion systems - Preferred - Understanding of materials and material properties - Preferred - Awareness of EDU, HV charging system, Electrical, Mechanical - Preferred - Machine learning AI etc. - Preferred Education : Programming, Electrical, Mechanical, AI, Software. Additional Information : This role is on a contract basis and is Inside IR35. The services advertised by Premea More ❯