1 to 25 of 34 Contract Machine Learning Jobs in England

to start and you must be SC Clearable Required skills/knowledge: - Set a multi-year AI strategy - Identify and maintain current AI/ML best practises - Leading on the clients AI offering at meetings/events - Mentoring junior members of the team This role will be signed up for more »

best practices. Ability to work independently and as part of a team. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning and AI concepts. Responsibilities: Data Architecture and Strategy: Develop and implement a comprehensive data strategy aligned with business objectives. Design and architect … dimensional, star schema, snowflake) to support business intelligence and analytics. Design and optimize database schemas for efficient data storage and retrieval. Data Science and Machine Learning: Collaborate with data scientists to integrate machine learning models into data pipelines and applications. Optimize data pipelines for machine learning workloads. Team Leadership and Collaboration: Mentor and guide team members on data engineering best practices and technologies. Collaborate with cross-functional teams (e.g., data analysts, business analysts, data scientists) to deliver data-driven solutions. Candidates will ideally show evidence of the above in their CV to be more »

Azure platform. Able to help find the right configuration of services from Microsoft and third-party providers to standards. Experience of integrating AI/ML capabilities into solutions is desirable. Hold a deep understanding of industry-standard business practices and TOGAF methodology. Able to match requirements of cross-system processes more »

This role will require you to undergo security clearance prior to taking-up your assignment. What will I be doing? * Designing and implementing scalable ML pipelines for data processing, model training, and deployment * Developing AI-powered solutions for predictive maintenance and connected car applications * Optimising and deploying ML models for … with cross-functional teams to integrate AI solutions into production workflows * Focusing on the full lifecycle of data pipelines, including training, evaluating, and deploying ML models on AWS/Azure * Partnering with Data Scientists to provide guidance on best practices for ML and MLOps infrastructure What experience, knowledge and aptitudes … will I need? * Solid understanding of DevOps engineering * Demonstrable hands-on MLOps experience * Expertise in data pipelines and ML model deployment * Proficiency with technologies such as Python/OpenShift/Kubernetes/Weights & Biases/MLFlow/ElasticSearch/JavaScript/React EDI statement: As an organisation and as a more »

NAF, TOGAF, SysML, UML) Experience of working with contemporary concepts and technologies e.g. MBE, MBSE, digital twins, autonomous systems, AR/VR, AI/ML, IoT, etc. Knowledge of the defence industry, including geopolitical influences and current UK government strategy Must be self-motivated and pro-active Experience Experience of more »

and architecture from system requirements • A structured approach to firmware design (RTCA DO-254 or similar) • Cryptography and anti-tamper techniques • Artificial Intelligence including machine learning and genetic algorithms • Electronics test methods and equipment more »

Principle/Chief Technology Officer Hybrid/London c£750-£800 PRINCIPLE/CHIEF TECHNOLOGY OFFICER/AI AND ML DOMAIN/DDAT - 9 months - HYBRID 3 DAYS ONSITE IN London, Bristol or Manchester - RATE c£750-£800 PD INSIDE IR35 We are looking foe a Chief/Principle Technology … Development groups. You should hold relevant industry certifications for your technical specialism You should have at least 2 years experience working with AI/ML as your main role - SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion more »

model and propose model improvements. Review the proposed architecture and propose improvements whilst considering our strategy and costs. Document CI/CD for a machine learning models within the controls of Data and Analytics. Senior Product Owner is responsible and accountable for the creation and ongoing maintenance of more »

a topic to achieve outcomes. Essential Skills: The ideal candidate will have a recent background within Design/Architecture with recent Artificial Intelligence/machine learning as with the following experience: experience setting a vision and leading digital and data change experience designing and building technology and to … working week, and you should be keen to share your learning with those around you through coaching and mentoring Technical skills: AI/ML & Data Science [fundamental level] Architecture/design hands on implementation and delivery of ML systems complex data pipelines large scale LLM fine tuning & testing evaluation … profiling aware of other ML systems AI adoption with departments performance, optimisation on ML requirements ability to speak to non-tech about technology To apply, please submit your latest CV for review. more »

mentor a team, set technology standards, and engage with vendors and stakeholders at all levels. The role requires your deep expertise in AI/ML, strong leadership skills, and experience in cross-functional collaboration. Effective communication, documentation, and a commitment to continuous learning and upskilling will be crucial. Government … standards will be highly beneficial. 1. Technical Expertise and Industry Standards * Artificial Intelligence and Machine Learning: In-depth knowledge of AI and ML technologies, including experience in designing and implementing AI/ML systems. * Agile Methodologies: Familiarity with Agile practices and how they apply to technology development and … project management. * Service and Industry Standards: Knowledge of relevant industry standards related to AI/ML and Agile practices. This may include standards such as ISO/IEC 27001 (Information Security), ISO/IEC 29100 (Privacy), and Agile frameworks like Scrum and Kanban. 2. Leadership and Strategic Vision * Setting Vision more »

Ops Engineer 12 Month Contract Based in London, 2 Days a week onsite Day rate up to £600 PD VIA Umbrella, Inside IR35 The ML Ops Engineer will be accountable and responsible for understanding the requirements, ensuring the model is built to production standards, looking at how the model can … be deployed, as well as streamlining the processes, automating those processes, and ensuring that we're using the right tools correctly. Initially the ML Ops Engineer will be responsible for reviewing the D&A Data Science proof of concept. They will need to understand through the D&A Product Owner … changes that would be needed to optimise for production deployments. Once the proof of concept phase is over and we move to development the ML Ops Engineer will be accountable for the development and creation of the pipelines needed to deploy the model in to a production environment. Working with more »

ML Architect - AI, Machine Learning, Architecture - 6 Month Contract - Inside IR35 Role Overview This high-impact, high-visibility position requires a deep understanding of AI/ML architecture, solutions, and modelling, along with strong communication skills to engage stakeholders across various functions and regions. You'll play a … pivotal role in fostering data and AI/ML initiatives across global operations, supporting the organisation's evolution into a data-centric enterprise. Responsibilities Solution Development : Translate the requirements of business and machine learning engineers into scalable, efficient AI/ML solutions. Strategic Alignment : Ensure AI/ML … solutions align with strategic goals, delivering measurable business impact. Architecture Design and Management : Lead the design, build, and management of a comprehensive AI/ML architecture, maintaining end-to-end accountability. Collaborative Leadership : Work under the Principal AI/ML Architect to establish AI/ML architecture frameworks and design more »

same. Strong understanding of data governance, Data quality and how they have implemented these processes. Good to have experience on Snowflake data warehouse and Machine learning. Apply now for immediate consideration more »

Experience in developing conceptual, logical and physical data models, to support Business requirements. Experience in developing enterprise models for OLTP, Analytics/AI/ML environments. Working knowledge with data modelling tools such as ERStudio/EA Sparx, Collibra Experience of metadata modelling, management and tooling Evidence understanding of a more »

with optimisation tools like Pyomo, JuMP, AMPL, and commercial solvers such as CPLEX, Gurobi, or XPRESS. Knowledge of data science techniques, including forecasting and machine learning, would be advantageous. Interested? If you have a passion for mathematical optimisation and enjoy creating models to address intricate problems, we want more »

care efficiency. About us ABOUT MEDLOOP: Medloop is a tech-enabled healthcare provider dedicated to transforming the relationship between patients and doctors. By leveraging machine learning and automation technologies, we enhance care delivery efficiency, increase clinical capacity, and improve the quality of care. Backed by 8 million euros more »

Role: Machine Learning Engineer Work Mode & Location: Hybrid (2 days in London office) Job Type: Contract (12 months) Role Overview: The ML Ops Engineer will support the development and deployment of machine learning models for a large-scale service provider in London. You will be responsible … for developing, deploying, and maintaining these models. They are investing heavily in their data and ML Platforms so you will get exposure to some really interesting projects. This is a Hybrid work opportunity with a mix of office and remote working, so that you will have a good work-life … balance. Required skills/experience: Experience with machine learning methodologies and scalable ML deployments. Skilled in building MLOps pipelines on Azure Cloud, automating model monitoring, and managing data/model drift. Strong Python (PySpark) and ML framework expertise (PyTorch, ONNX, XGBoost), with knowledge of CI/CD and more »

development of large-scale scientific applications. Key Responsibilities : Collaborate with model development teams to adapt and optimise existing evaluation tools for next-generation and machine learning model data. Design, implement, test, and document Python and Cylc code changes, delivering robust software solutions. Engage in the full software lifecycle … applications. Strong proficiency in Python, especially for scientific computing. Experience with Linux systems and version control tools. Expertise in model evaluation and working with machine learning model data. Ability to work autonomously and manage multiple priorities in a remote setting. This is a fantastic opportunity to work in more »

care efficiency. About us ABOUT MEDLOOP: Medloop is a tech-enabled healthcare provider dedicated to transforming the relationship between patients and doctors. By leveraging machine learning and automation technologies, we enhance care delivery efficiency, increase clinical capacity, and improve the quality of care. Backed by 8 million euros more »

care efficiency. About us ABOUT MEDLOOP: Medloop is a tech-enabled healthcare provider dedicated to transforming the relationship between patients and doctors. By leveraging machine learning and automation technologies, we enhance care delivery efficiency, increase clinical capacity, and improve the quality of care. Backed by 8 million euros more »

care efficiency. About us ABOUT MEDLOOP: Medloop is a tech-enabled healthcare provider dedicated to transforming the relationship between patients and doctors. By leveraging machine learning and automation technologies, we enhance care delivery efficiency, increase clinical capacity, and improve the quality of care. Backed by 8 million euros more »

develop more general and capable problem-solving systems, known as artificial general intelligence (AGI). They are renowned for their interdisciplinary focus combining AI, machine learning and neuroscience research. It's the go-to place is you want to be on the forefront of discovery! Headquartered in London more »

develop more general and capable problem-solving systems, known as artificial general intelligence (AGI). They are renowned for their interdisciplinary focus combining AI, machine learning and neuroscience research. It's the go-to place is you want to be on the forefront of discovery! Headquartered in London more »

and creating NLP and LLM models, monitoring and auditing data quality, and identifying, analysing, and interpreting trends or patterns in complex data sets using ML and NLP models. You will also assist in designing and delivering dashboards and data-driven insights to stakeholders and apply your data engineering skills to … create multiple datasets for AI training. Experience: Minimum 2 years of experience in data analysis, ML, and NLP Ability to fine-tune or build custom models Prior experience working with text data and unstructured data Strong knowledge of and experience with databases (SQL, NoSQL, etc.), data structures (XML, JSON), and … programming (e.g., Python, graph libraries such as Plotly, ETL frameworks, software engineering, ML libraries, APIs) Experience with data visualization tools, such as Tableau, Power BI, or similar The client is based in London and offers a hybrid working paying a competitive rate. This will initially be on a 6-month more »

any experience of Microsoft Azure or Amazon AWS may also be beneficial. Through our data scientists, we are exploring and implementing artificial intelligence and machine learning solutions. An enthusiasm for the field of data science, and a desire to collaborate, and support these projects will also be beneficial. more »