13 of 13 Contract MLOps Jobs in the UK excluding London

Senior ML & AI Backend Engineer - Big Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend systems that … for you. What You'll Do Architect and implement scalable backend systems powering ML models and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. Develop solutions for big data storage and processing, ensuring data quality, security, and efficiency. Integrate and optimize both classical ML models and LLMs … systems. About You You're fluent in Python and experienced with leading ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face). You have a solid background in MLOps: experiment tracking, CI/CD for ML, model versioning, deployment, and monitoring. You've built scalable backend systems and APIs (RESTful/GraphQL), with solid experience in microservices and databases More ❯

and eagerness to stay ahead of the curve Desirable Skills Background in agile and collaborative project delivery Familiarity with data visualisation tools (e.g. Tableau) Exposure to model monitoring and MLOps practices MSc or equivalent in a quantitative discipline (e.g. Data Science, Statistics, Computer Science) *Rates depend on experience and client requirements More ❯

Data Scientist - 6 Month Contract Location: York or Manchester (Hybrid, up to 2 days/week in office) Type: 6 Month Contract, £450/day (Inside IR35) Reporting to: Head of Data Science A leading financial services company seeks a More ❯

Data Scientist - 6 Month Contract Location: York or Manchester (Hybrid, up to 2 days/week in office) Type: 6 Month Contract, £450/day (Inside IR35) Reporting to: Head of Data Science A leading financial services company seeks a More ❯

methods? Any experience of popular known deployment methods on k8s cluster? Gitops/Git/Jenkins Any experience using gitops pipeline? Nice to have Understanding of LLM Evaluation Frameworks MLOps platforms or LLMOps background Understanding of AI Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates More ❯

environments DESIRABLE SKILLS Exposure to LLM workflows or vector databases Experience in the media, content, or publishing industries Familiarity with cloud data platforms (e.g., AWS or Azure) Knowledge of MLOps and ML/data science pipelines HOW TO APPLY To register your interest, please apply via the link or get in touch with your CV. More ❯

a plus) Strong Python, SQL, and data science toolkit experience Proven track record in deploying end-to-end ML solutions in cloud environments (AWS, Azure, or GCP) Familiarity with MLOps Excellent communication skills and ability to work cross-functionally This is a fantastic opportunity to deliver impactful work in a collaborative and forward-thinking environment. Location: Remote first - 1 day More ❯

and AWS (serverless) Background in OCR, NLP, and scalable automation architectures Solid understanding of Agile, DevOps, and XP practices Comfortable with stakeholder engagement and cross-functional collaboration AWS Textract, MLOps, PyTorch Kubernetes, Docker, OpenShift Role Fully remote £550 Per Day outside IR35 6 month contract (2 year project) Starting end of July Please get in touch for further information. Morgan More ❯

ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt injection. Define access control, authentication, and encryption standards across platforms. Work with data scientists and engineers to More ❯

tuning pipelines to adapt foundation LLMs to enterprise-specific datasets• Work with embedding models and OCI Vector Database to implement RAG Solutions.• Provide technical guidance and best practices around MLOps, model versioning, deployment automation, and AI governance.• Collaborate with functional SME’s, application teams, and business stakeholders to identify AI opportunities and design the right cloud and AI first solutions. More ❯

Experience with serverless architecture, Agile delivery, and XP practices. Familiarity with cloud monitoring tools (e.g., Grafana) and infrastructure-as-code. Desirable Skills Experience with AWS AI services (e.g., Textract), MLOps, PyTorch. Knowledge of Containerisation. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV More ❯

Experience with serverless architecture, Agile delivery, and XP practices. Familiarity with cloud monitoring tools (e.g., Grafana) and infrastructure-as-code. Desirable Skills Experience with AWS AI services (e.g., Textract), MLOps, PyTorch. Knowledge of Containerisation. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV More ❯

in real-world applications. Solid understanding of advanced prompt engineering techniques. Good knowledge and practical experience with FastAPI and RESTful APIs. Solid knowledge of PostgreSQL. Experience with DevOps/MLOps, including deploying and monitoring ML pipelines. Decent React.js experience to support front-end integration and prototyping. Good understanding of audio protocols (e.g., WebRTC, SIP, RTP). Preferred (Bonus) Skills Production … Contributing to backend and front-end components for real-time, interactive applications. Collaborating closely with product and infrastructure teams to ship impactful features. Driving clean and reliable deployments with MLOps best practices. More ❯