126 to 150 of 344 MLOps Jobs in England

Date: July 2025 Company: Fuzzy Labs Job Title: MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We are growing our … team of engineers to help deliver an increasing number of client projects. You won't need an existing MLOps background to apply for this role. You'll learn as you go by immersing yourself in this exciting new field. What we're looking for We've seen considerable growth over the past few years and this will continue as we … build on our reputation as Open Source MLOps experts, while working with the community, and delivering solutions to our clients. The ideal candidate would be motivated to grow and progress in line with the company's ambitions. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you'll also enjoy More ❯

environments Strong technical background in data engineering, analytics, or science Experience working with Finance and Risk teams Familiar with AWS and modern data/AI stacks (SQL, Python, MLflow, MLOps) Strategic mindset with ability to scale teams and influence at C-level More ❯

engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture. More ❯

engineering, optimisation). Excellent communication and stakeholder management abilities. A track record of managing teams and shaping development roadmaps. experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture. More ❯

Experience: Python, including APIs, data structures, and async processing Databricks/Microsoft Fabric Cloud, preferably Azure (Data Lake, Functions, App Services) Containerisation with Docker and CI/CD pipelines MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests LangChain, Langflow, or similar frameworks for building AI agents LLMs or intelligent automation workflows High-availability, scalable systems (microservices, event More ❯

Experience: * Python, including APIs, data structures, and async processing * Databricks/Microsoft Fabric * Cloud, preferably Azure (Data Lake, Functions, App Services) * Containerisation with Docker and CI/CD pipelines * MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests * LangChain, Langflow, or similar frameworks for building AI agents * LLMs or intelligent automation workflows * High-availability, scalable systems (microservices, event More ❯

Airflow, Terraform, or SageMaker. Data Quality Management: Experience with data versioning and quality assurance practices. Automation and CI/CD: Knowledge of build and deployment automation processes. Experience within MLOps A 1st class Data degree from one of the UKs top 15 Universities Nice to Have Production Experience: Experience building and maintaining data pipelines in a live environment. Data Storage More ❯

Experience:* Python, including APIs, data structures, and async processing* Databricks/Microsoft Fabric* Cloud, preferably Azure (Data Lake, Functions, App Services)* Containerisation with Docker and CI/CD pipelines* MLOps tooling (MLFlow, Git-based versioning, environment tracking)Desirable Skills & Interests* LangChain, Langflow, or similar frameworks for building AI agents* LLMs or intelligent automation workflows* High-availability, scalable systems (microservices, event More ❯

production deployment. Proficiency with machine learning frameworks Strong programming skills in Python; familiarity with cloud AI platforms such as Azure, AWS, or Google Cloud Platform (GCP). Experience with MLOps practices, including CI/CD pipelines for AI models, monitoring, and version control. Deep understanding of AI algorithms Desirable Attributes Experience working in fast-paced, high-growth, or regulated industry More ❯

in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and ability to influence senior stakeholders, comfortable in dual-regulated environments. HOW TO APPLY: Please send 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 ❯

deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act as a technical lead within project teams, mentoring mid-level More ❯

deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act as a technical lead within project teams, mentoring mid-level 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 ❯

managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF Experience in CI/CD and DevOps/MLOps and version control Familiarity with data visualization and reporting tools, ideally PowerBI Experience in the pensions or similar regulated financial services industry Due to the volume of applications received for More ❯

deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act as a technical lead within project teams, mentoring mid-level More ❯

deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act as a technical lead within project teams, mentoring mid-level More ❯

systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB, and API security. AI Deployment : Familiarity with MLOps, data engineering, and ethical AI practices. Strategic Thinking : Ability to align tech strategy with business objectives and cost efficiency. Security & Compliance : Strong understanding of GDPR, API authentication, and observability. Big More ❯

systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB, and API security. AI Deployment : Familiarity with MLOps, data engineering, and ethical AI practices. Strategic Thinking : Ability to align tech strategy with business objectives and cost efficiency. Security & Compliance : Strong understanding of GDPR, API authentication, and observability. Big More ❯

knowledge as a plus. Demonstrated experience building APIs supporting analytics, research, or actuarial functions in an insurance environment. Proficiency with cloud technologies such as Snowflake, Databricks, and familiarity with MLOps frameworks. Exhibit strong collaboration, problem-solving, and communication skills, with the ability to adapt to changing priorities and simplify complex problems. Seniority level Seniority level Mid-Senior level Employment type More ❯

experience with molecular or protein visualisation . You've built UIs visualising molecules or proteins using Mol You are passionate about model serving . You have some familiarity with MLOps and ML serving. Your responsibilities Develop and own both front-end and back-end components of our platform. Craft the most graphically delightful web experiences around proteins. Optimise the performance More ❯

Lake, Azure Functions, Power BI. Experience in project delivery and consultancy. Prince 2 Agile or similar. Experience in Blue Light, NHS, Local Government or Social Housing sectors. Experience with MLOps workflows and frameworks. The successful candidate will be required to obtain Security Clearance and NPPV Level 3. More ❯

out as these open up. What You'll Be Doing As a Senior Machine Learning Engineer at Faculty, you'll design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. You'll be engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML More ❯

a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval More ❯