17 of 17 Contract MLOps Jobs in England

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 ❯

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 ❯

of complex business cloud solutions. The ideal candidate will have a strong background in Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalize the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining More ❯

libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading More ❯

libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company Market leading More ❯

with large-scale data and cloud-based environments. Background in consulting or client-facing project delivery. Familiarity with sectors such as manufacturing, energy, healthcare, or public sector. Understanding of MLOps and data science solution lifecycle. Why Join? Work on groundbreaking AI projects with real-world applications.? Collaborate with a team that values innovation, creativity, and measurable impact.? Opportunity to influence More ❯

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 ❯

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 ❯

Job Title : Product Manager - MLOps Platform (AdTech Focus) Location : Remote (UK BASED) Salary/Rate : £550 Inside IR35 Start Date : 18/08/25 - 31/12/25 Job Type : Contract MUST BE ELIGIBLE FOR BPSS About the Client: Our client is a global leader in the digital advertising space, driving innovation across programmatic media, data platforms, and … real-time analytics. They are embarking on a strategic initiative to build a greenfield MLOps platform to power advanced machine learning use cases across their AdTech ecosystem. This is a fully remote role, inside IR35, offering the chance to own and shape foundational ML infrastructure at scale. Key Responsibilities: Define and own the product vision and roadmap for a brand … new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint 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 ❯

Role Title: Product Manager - MLOps Platform (AdTech Focus) Location: Remote | UK Based Duration: 31/12/2025 MUST BE THROUGH UMBRELLA Role Description: We're looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique … a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Responsibilities: Define and own the product vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand … workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components and define the architectural blueprint for the MLOps platform. Collaborate with backend and platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for 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 ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to More ❯

Machine Learning Engineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) Machine Learning Engineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in Machine Learning (ML) Engineering and in-depth expertise in operationalising models in Databricks, MLFlow and MLOps environments. A chance to More ❯