23 of 23 MLOps Jobs in the North West

Date: July 2025 Company: Fuzzy Labs Job Title: Lead 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 More ❯

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 ❯

testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team and help us drive innovation and excellence. This is a flexible … Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot problems quickly Excellent problem-solving and analytic … services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot problems quickly Excellent problem-solving and analytic More ❯

ability to work both independently and collaboratively. Bonus Points: Experience working with SaaS platforms and APIs. Familiarity with cloud security concepts and technologies. Familiarity with machine learning pipelines and MLOps practices Experience with infrastructure as code and DevOps practices Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our 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 ❯

Senior Data Engineer An exciting opportunity has arisen for a Senior Data Engineer to join my clients dynamic and growing data team. In this role, you will work across the full data lifecyclestreaming, enrichment, and curationwithin a cloud-based environment. 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 ❯

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 ❯

Location: Haywards Heath, Home Office (Remote) or Manchester Salary: £56,000 - £70,000 depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been More ❯

skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A strong understanding of responsible AI practices and a passion for experimentation and continuous learning are essential. Responsibilities: Design, prototype and implement AI models … learning architectures. Able to work collaboratively with Data Scientists, engineers and stakeholders in an agile environment. Experience with Retrieval Augmented Generation (RAG) or vector databases (e.g. Qdrant.) Exposure to MLOps practices and tools (e.g. DVC) Understanding of AI ethics, bias mitigation and responsible ML practices. About us: At Peregrine, we see beyond the immediate and look to the horizon. We More ❯

related fields. Python skills and interest in machine learning tools and frameworks. Curious about large language models (LLMs), prompt engineering, or AI evaluation. Any exposure to cloud tools or MLOps is a bonus. Eager to learn and grow in a fast-paced tech role. Great communicator and team player. Strong problem-solving and attention to detail. Open to feedback and More ❯

Available on a full time or part-time basis (39 hours or 32 hours per week/4-5 days) Flexible working options include flexible start and finish times and some home working. Starting salary: from £42,000 per annum More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch More ❯

like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch More ❯

inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle More ❯

inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle More ❯

research scientists to refine model architectures and integrate the latest techniques into production Evaluating model performance with custom metrics and developing automated test frameworks for ML systems Contributing to MLOps tooling and infrastructure to support model lifecycle management and monitoring in production Working closely with product, research, and backend engineering to deliver seamless end-to-end features What We're More ❯

microservices (FastAPI, Kubernetes) Familiarity with CI/CD pipelines and modern software practices Background in document extraction and reasoning (LLMs, RAG, agents) Exposure to multimodal data (text, images, structured) MLOps, model monitoring, and rapid prototyping (Streamlit, Dash, etc.) 3–4+ years in software or ML engineering roles The Interview Process Intro chat with Lead Data Scientist Take-home technical challenge More ❯

The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver a disruptive technical innovation programme that embeds advanced Machine Learning, AI and More ❯

and productionisation of data science products in the Search domain, for example, information retrieval. Strong understanding and experience of experimentation within data science. Experience with model lifecycle management and MLOps, particularly within AWS. Experience of supporting other Data Scientist/s with their technical work to deliver value in production. Disclaimer This job description is a written statement of the More ❯

Be the Data-Driven Heart of Our Transformation At Pets at Home, were more than a retailer were a pet care powerhouse, spanning retail, veterinary, grooming and subscription services. As we transform our business through data, were looking for a More ❯

mix using Meta's Robyn, so experience using or managing teams that have worked with Robyn is important. They're also looking for someone with a solid grasp of MLOps principles to help productionise models and maintain performance over time. Their stack includes GCP, so experience working in that environment would be a big plus. What they're looking for … with experience building models, running experiments and influencing business decisions Experience with Robyn (Meta's open-source MMM tool) or managing teams who have used it commercially Exposure to MLOps tooling and workflows, including monitoring, deployment and versioning Experience deploying on a cloud environment Comfortable working in a fast-moving, early-stage environment This is a rare chance to build More ❯