19 of 19 Contract MLOps Jobs in England

Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop) is a plus. More ❯

Experience with cloud platforms (AWS preferred). Familiarity with CI/CD practices and version control (Git). Excellent problem-solving and communication skills. Nice to Have Experience with MLOps tools and practices. Knowledge of data engineering and ETL pipelines. Exposure to deep learning frameworks and NLP techniques. IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting More ❯

mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI, ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published More ❯

mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI, ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published More ❯

on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure as Code (IaC) using Terraform. Experience deploying and managing AI/ML workloads with Kubernetes/GKE. More ❯

Senior Data Engineer (AI & MLOps) - Software - Newcastle/Hybrid or Remote Day rate: £300 - £500 (Inside IR35) Duration: 6 months Start: ASAP My new client is looking for a Senior Data Engineer with expertise in AI, MLOps, and AWS architecture to design and deliver production-grade machine learning pipelines. The ideal candidate will be passionate about bridging the gap between … compliance of data pipelines and deployed ML solutions. Mentor junior engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services More ❯

maintain secure AWS cloud infrastructure Implement and manage CI/CD and DevOps pipelines Champion data quality, security, and best practices Collaborate with cross-functional teams Implement and manage MLOps capabilities Essential Skills: Advanced Python programming skills Expertise in data engineering tools and frameworks (Apache Flink) Hands-on AWS experience (Serverless, CloudFormation, CDK) Strong understanding of containerization, CI/CD More ❯

development, ideally in regulated industries. Sector Knowledge: Financial services, consulting, or technology background with a focus on transformation. Technical Understanding: Familiarity with AI/ML technologies (generative AI, NLP, MLOps, data governance). Business Acumen: Ability to identify high-impact AI use cases aligned to business strategy. Governance Awareness: Strong understanding of risk, compliance, and model governance in a complex More ❯

Data & Analytics Engineer 12 Month FTC Liberty Wines is modernising its data estate: migrating from on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are More ❯

Data & Analytics Engineer 12 Month FTC Liberty Wines is modernising its data estate: migrating from on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/ More ❯

assurance frameworks. Conduct testing, evaluation, and validation of AI/ML solutions. Advise Defence teams on ethical, regulatory, and operational compliance. Support safe deployment of AI systems and guide MLOps practices. What we're looking for: Active SC clearance (DV desirable). Experience in AI assurance, risk management, or governance. Knowledge of standards such as ISO, NIST, FIPA . Strong More ❯

assurance frameworks. Conduct testing, evaluation, and validation of AI/ML solutions. Advise Defence teams on ethical, regulatory, and operational compliance. Support safe deployment of AI systems and guide MLOps practices. What we’re looking for: Active SC clearance (DV desirable). Experience in AI assurance, risk management, or governance. Knowledge of standards such as ISO, NIST, FIPA . Strong More ❯

Senior Machine Learning Operations Engineer London (2x a week onsite) - £500 p/d (Outside IR35) 6-months Contract We are seeking an experienced MLOps Engineer to join a globally known consumer tech company focused on building innovative, large-scale platforms. In this role, you will evolve and scale the machine learning platform, ensuring it supports high-throughput model inference More ❯

MLOps Engineer Our trusted partner, which operates within the Ed-Tech domain, employs over 10,000 individuals across 100 countries and has a reach of 600 million users, is recruiting an MLOps Engineer who has Chatbot (Voice) integration project experience using Python, Pytorch, Pyspark and AWS LLM/Generative AI. Our client is paying £400 PD Outside IR 35 to More ❯

Role? Shape and deliver the security architecture strategy for enterprise cloud and AI/ML programmes. Work on cutting-edge initiatives in the financial services domain, integrating AI and MLOps with security guardrails. Act as a trusted advisor to senior leadership , influencing both business and technology direction. Key Responsibilities Define and evolve security architecture strategies for cloud, AI/ML … and MLOps environments . Act as a senior security advisor to leadership, engineering, and business stakeholders. Develop security architecture standards, patterns, and guidelines for enterprise solutions, with specific coverage for AI/ML workloads. Conduct security architecture reviews, threat modelling, and risk assessments for AI/ML systems and pipelines . Ensure solutions comply with European financial services regulations (GDPR … PSD2, DORA, NIS2) as well as emerging AI governance frameworks (e.g., EU AI Act, NIST AI RMF). Integrate security into DevSecOps and MLOps pipelines , including CI/CD and infrastructure-as-code environments. Drive adoption of Zero Trust principles, encryption standards, IAM policies, and network/data/application security controls. Collaborate with data scientists, ML engineers, and IT More ❯

Senior Machine Learning Operations Engineer London (2x a week onsite) - £500 p/d (Outside IR35) 6-months Contract We are seeking an experienced MLOps Engineer to join a globally known consumer tech company focused on building innovative, large-scale platforms. In this role, you will evolve and scale the machine learning platform, ensuring it supports high-throughput model inference … and fast iteration cycles. This position is perfect for someone who thrives at the intersection of MLOps, Kubernetes, and cloud infrastructure, with a hands-on approach to solving complex challenges. You will work closely with ML engineers and product teams to align infrastructure with evolving project needs, research and implement cutting-edge MLOps practices, and mentor colleagues by sharing expertise … clusters from scratch, configuring them manually using tools like kubeadm, and deploying applications with Helmdemonstrating true infrastructure-level expertise rather than just deploying services on managed platforms. Key Skills MLOps & Kubernetes: GPU-enabled cluster management, built from scratch using kubeadm and Helm. Programming : Python or Go for ML automation workflows. Containerization : Docker and containerized application deployment. Cloud : AWS experience supporting More ❯

Morela is supporting our client in securing an experienced AI Assurance ML Ops professional to join a high-impact programme. This is a chance to ensure AI/ML systems are safe, auditable, and fully aligned with regulatory and ethical More ❯

I'm working with a specialist consultancy delivering cutting-edge AI Assurance projects across UK Government departments. We're looking for Security Cleared professionals for the following inside IR35 contract roles:AI Assurance – Mission System/Edge/Operational SMEFocus More ❯