14 of 14 Permanent MLOps Jobs in Manchester

clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp ...

development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps familiarity expected. Strong communication and stakeholder skills matter at every level. ...

Senior MLOps Engineer – AI Consultancy Manchester | £65k–£80k + Equity + Benefits We’re hiring a Senior MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). You’ll take ownership of production ML systems and help shape how models … cloud platforms (AWS, Azure, or similar) Experience deploying systems you’ve helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent‐based systems Open source contributions or technical writing Perks £65k–£80k salary ...

growth over the last few years and we’re looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we’re looking for The ideal candidate … knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you’ll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride ...

ExperiencedeployingandmanagingAIworkloadswithinproductionenvironments. StrongSQLanddataengineeringskills,workingwithbothstructuredandunstructureddatasets. AbilitytotranslatecomplexdatasetsintoactionableinsightsandAI-drivenbusinesssolutions. ExperienceimplementingAIgovernance,security,monitoring,andoperationalbestpractices. Excellentcommunication,leadership,stakeholdermanagement,andproblem-solvingskills. HighlyDesirable StrongDataSciencebackground,withexperienceinstatisticalmodelling,predictiveanalytics,featureengineering,experimentation,andmodelevaluation. ExperienceapplyingDataSciencemethodologiestosolvecomplexbusinessproblemsandidentifyopportunitiesforAIadoption. ExperiencewithGenAIOps,LLMOps,MLOps,andAIobservabilityplatforms. ExposuretoComputerVision,OCR,VoiceAI,ConversationalAI,ormultimodalAIsolutions. Experienceworkingwithinoperational,retail,automotive,logistics,orcustomer-centricorganisations. KnowledgeofResponsibleAI,AIgovernanceframeworks,andregulatoryconsiderations. PreviousexperienceleadingAIinitiatives,mentoringengineers,orhelpingdefineAIstrategyandroadmap. ExperiencebuildingorcontributingtoanAICentreofExcellenceorinternalAIcapabilityfunction. WhatWe'reLookingFor We'relookingforsomeonewhocombinesdeeptechnicalexpertisewithcommercialawarenessandapragmaticapproachtoAIdelivery.You'llbecomfortableoperatingatbothstrategicandhands-onlevels ...

growth over the last few years and we’re looking to continue with this momentum as we build on our reputation as Open Source MLOps experts, expand our role within the community, and continue to deliver high-quality solutions to our clients. What we’re looking for The ideal candidate … knack for creative problem solving. As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you’ll also enjoy being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps, and taking pride ...

supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into … prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design ...

data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in the first ...

relooking for someone with extensive experience designing, building, and deploying production-grade AI andMLsolutions,supported bya strong understanding of ML engineering,Machine Learning Operations(MLOps), and model lifecyclemanagement.You’llbring the technicalexpertiseto translate analytical models and decision strategies into robust, operational systems that deliver business value within regulated environments. To succeed ...

CreateFuture is seeking a Lead MLOps Developer to own the design and delivery of a production-grade ML platform on AWS. You will migrate a 12-model production suite to SageMaker, define governance gates, and build CI/CD pipelines for model promotion. You will lead the creation of reusable … MLOps patterns, write runbooks for data science teams, and communicate risk and parity trade-offs to stakeholders. Hybrid/remote options available in the UK. #J-18808-Ljbffr ...

scale production-grade models and AI systems across the Economic Crime Hub. You will own the end-to-end lifecycle, establish standards for MLOps, and collaborate with Analytics, Product, and Technology teams to deliver automated decisioning. The role requires leadership of a multi-disciplinary DS/ML/MLops team ...

deliver reliable, high-performing outcomes that support business objectives at scale. You’ll also establish and enforce standards for model development, Machine Learning Operations (MLOps), monitoring, and lifecycle management, while partnering closely with Analytics, Product, and Technology teams to translate decision strategies and decision intent into automated, production-grade solutions … ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single-threaded owner ...

low. Join us on our journey... Let’s create something awesome, together, today. About the role and team: We are looking for a Lead MLOps Developer to own the design and delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain … production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite (e.g., the CVM suite) from legacy infrastructure to SageMaker, owning parity testing methodology and sign-off Build and maintain CI/ ...

capabilities including LLM-powered and generative experiences Setting technical direction across modelling, evaluation and ML lifecycle management Partnering closely with Product, Engineering and MLOps teams Improving scalability, observability and speed-to-production across ML systems Leading and developing a high-performing team of ML specialists and leaders Acting … interest in LLMs, generative AI and AI-powered customer experiences Excellent stakeholder management and communication skills Strong cross-functional collaboration across Product, Engineering and MLOps Why This Role? Opportunity to define the future of ML & AI within a major consumer platform High visibility and influence across Product, Technology and Commercial ...