1 to 25 of 30 Contract MLOps Jobs in England

CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems. Infrastructure: Proven track record in MLOps , containerization (Docker/K8s), and cloud platforms (Azure/AWS). Ethical AI: A deep understanding of AI fairness, transparency, and regulatory compliance within ...

operational efficiency. You will be expected to operate across the full ML lifecycle, from modelling and experimentation through deployment, monitoring and continuous improvement. Strong MLOps discipline is essential, including CI/CD, automated testing, repeatable deployments, versioning, and safe release practices to keep models stable, observable and maintainable in production. ...

Scikit-learn, PySpark) Experience with LLM systems (RAG, prompt engineering, orchestration frameworks) Knowledge graphs (Neo4j or similar) End-to-end ML life cycle experience (MLOps, CI/CD, MLFlow, Docker, etc.) Consulting & Commercial Background in consulting or client-facing delivery roles Experience handling stakeholders and translating complex requirements Exposure ...

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 ...

GenAI solutions, from data preparation through to production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable ...

commercial problems Develop, validate, deploy, and monitor machine learning models in production environments Build and maintain end-to-end data science solutions using modern MLOps practices Use cloud-based platforms (notably Databricks) to develop scalable data products Translate complex analytical outputs into clear, business-focused insights Collaborate with technical ...

resolve incidents efficiently. Continuously improve ML Ops processes, tooling, and automation for efficiency and reliability. What Were Looking For Essential: 5+ years experience in MLOps, DevOps, or related roles. Strong knowledge of ML lifecycle management, deployment, monitoring, and model maintenance. Hands-on experience with Python (and ML frameworks), containerisation (Docker ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

successful deployment and adoption across the business. Take ownership of AI-enabled products, from early concept and prototyping through to production and scaling (including MLOps). Align AI initiatives with business objectives, defining use cases, and ensuring solutions deliver meaningful commercial value. Build strong relationships with stakeholders and external partners ...

Adaptive Decision Manager in production environments is highly desirable. * Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. * Familiarity with MLOps practices and model monitoring frameworks is beneficial. How to Apply If you are looking for a senior data science role where you can combine technical ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

Senior MLOps Engineer East Molesey, England, United Kingdom Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing … Requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines, including MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn ...

capabilities to ensure solutions are secure, well-governed, and scalable. Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps pipelines , coding standards, and rigorous testing frameworks. Stakeholder Synthesis: Translate complex business requirements from product owners and stakeholders into actionable, high-level technical plans ...

MLOps Platform Manager, Palantir Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus … products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir ...

vulnerability management, and automation A passion for continuous improvement and mentoring others Desirable Experience in defence, aerospace, or other highly regulated sectors Exposure to MLOps, edge computing, or GPU-enabled workloads If this role is of interest, apply now or email your CV to me directly at (url removed ...

Unity Catalog, governance, RBAC and platform security Experience improving platform reliability, scalability and developer experience Desirable: Databricks Asset Bundles (DABs) Azure DevOps, MLflow and MLOps exposure This role will focus on building scalable platform capabilities, enabling domain-led data products, and driving best practice across a modern data ecosystem. ...

MLOps Platform Manager (Databricks) London £550-£650 Outside IR35 Per Day Fully Remote Start date: ASAP The Company They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform … estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work. The Role and Deliverables Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance ...

production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with … problems Develop and maintain scalable data pipelines and feature engineering workflows Productionise data science models and integrate them into live services and platforms Implement MLOps best practices, including model versioning, monitoring, and CI/CD Collaborate with data scientists, analysts, and architects to design end-to-end ML solutions Ensure ...

Lead DevOps Engineer - SC/DV/NPPV3 Contract AWS Terraform MLOps Secure Environments Rate : Up to £850/day Inside IR35 Location : Manchester (1-2 days/week) Contract Length : 6 months initial (+ extensions) Clearance : Active SC or DV Clearance (+NPPV3 eligibility) I'm looking for an experienced ...

Lead DevOps Engineer - SC/DV/NPPV3 Contract AWS Terraform MLOps Secure Environments Rate : Up to £850/day Inside IR35 Location : Manchester (1-2 days/week) Contract Length : 6 months initial (+ extensions) Clearance : Active SC or DV Clearance (+NPPV3 eligibility) I'm looking for an experienced ...

This is a fantastic opportunity to work as an MLOps Engineer on a remote basis, outside IR35, for a growing pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps AI AWS Python Terraform Kubernetes DevOps background If you do have the relevant experience for this long … term remote contract MLOps Engineer role, outside IR35, please do apply. ...

MLOps Engineer, Palantir Platform Fully Remote 6 Month Contract Outside IR35 £550 to £650 per day The Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data … platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams are collaborative, delivery focused and used to working with senior technical stakeholders. The Role and Deliverables Design, build and maintain MLOps pipelines on the Palantir Foundry platform. Enable reliable deployment, monitoring and retraining of machine learning ...

MLOps Platform Manager (Palantir) London Rate: £550-£650 Outside IR35 Per Day Work Type: Fully remote Start: ASAP The Company They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex … central platform function focused on operational excellence. The Role and Deliverables Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience. Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks. ...