1 to 25 of 28 MLOps Jobs in the North West

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 being part of a culture that values: Loving what we do: a real passion for Open Source, MLOps and taking pride in great work. Just trying it: MLOps is an exciting new field. We love to develop new skills, solve new problems and thrive on a challenge. Being greater 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 ❯

and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally with product, UX, and leadership … Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data is a strong plus. A More ❯

and deploy advanced machine learning and behavioural intelligence models. Lead the transition of prototypes into scalable, cloud-native production systems. Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps). Work with large-scale time series and behavioural data from diverse sensors. Contribute to strategic technical decisions and mentor junior engineers. Collaborate cross-functionally with product, UX, and leadership … Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Experience deploying AI solutions into production environments using AWS/GCP/Azure. Hands-on with MLOps, CI/CD for ML, and model performance monitoring. A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data is a strong plus. A More ❯

attribution, predicting customer propensity, segmenting customer groups based on behavioural data, and recommending products and/or content. Fine-tune Large Language Models to business-specific use cases. Deploy MLOps pipelines together with our ML engineers. Work closely with data engineers, fellow data scientists/AI engineers and consultants to ensure seamless integration and deployment of AI solutions that create … communication and problem-solving skills. Direct availability to start working in the UK. Nice to have: Experience with natural language processing (NLP) or computer vision (CV). Knowledge of MLOps and model deployment pipelines. Familiarity with AI ethics and responsible AI principles. Experience working with large datasets and distributed computing. Contributions to open-source AI projects. WE OFFER: The benefits More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and Lead MLOps Engineers for a fast-growing tech start-up at the … mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in production environments Build and optimise scalable MLOps pipelines using modern tools and cloud platforms (AWS, Azure, GCP) Work with tools like Terraform … Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based in Manchester Strong work-life balance and a genuinely fun, inclusive environment Excellent career progression , bonus structure What We're Looking For Most importantly, you must More ❯

with ML libraries and frameworks Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning Experience working with structured and unstructured data sources Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD for ML, cloud deployment) Excellent communication and stakeholder engagement skills Bachelors or Masters degree in Computer Science, AI, Data Science, or More ❯

Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working in an MLOps environment. Familiarity with simulation techniques. Familiarity with optimisation techniques. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are 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 ❯

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges More ❯

to production. Build robust APIs and microservices to serve AI models at scale. Integrate behavioural intelligence models across cloud platforms (AWS, GCP, Azure). Set up end-to-end MLOps pipelines: monitoring, retraining, and automation. Collaborate with cross-functional teams to align tech with user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering … backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time series data An entrepreneurial mindset—curious, autonomous More ❯

desirability scoring) and ensure ethical, bias-free automation. 3. Cross-Functional Leadership - Lead a team of Product Managers (Data, Salesforce, Decision Engine) and collaborate with: - Data Science & Engineering: Scale MLOps, model governance, and data quality. - Commercial Teams: Develop pricing models for data-as-a-service (DaaS) offerings. - Legal & Compliance: Embed GDPR, PSD2, and AI ethics into product design. 4. Commercialisation … Deep technical expertise: - Data Platforms: Cloud-native architectures (AWS/Asure), data mesh/fabric. - Salesforce: Financial Services Cloud, CRM integrations, CPQ. - AI/ML: Production-grade model deployment, MLOps, ethical AI frameworks. - Strong commercial mindset: Experience monetising data or SaaS products. Desired - MBA or advanced degree in Data Science, Computer Science, or related field. - Experience in automotive supply chain More ❯

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to More ❯

Location: Manchester (M2 3JL) (2 days p/w in office) Salary: £75k-£85k + bonus Industry: Finance Tech Stack: Python, SQL, Tableau, AWS, Azure 👩🏻‍💻 Great opportunity for a talented Engineer (Python, SQL, Tableau, AWS, Azure) to join a retail 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 ❯

Data/MLOps Engineer Hybrid Working - 2 days p/w in office (Manchester, M2 3JL) Pays £75k-£85k Data/MLOps Engineer - Python, SQL, AWS, Azure Oliver Bernard have partnered with a retail bank undergoing a data transformation. You'll be joining their core Data team and be responsible for deploying tooling through cloud platforms, utilising new LLM models … and building out new pipelines. Data/MLOps Engineer - Python, SQL, AWS, Azure Key Skills and Experience: Python SQL Tableau, PowerBI Terraform AWS, Azure This role is hybrid working from their offices in Manchester, M2 3JL (3 days p/w). VISA sponsorship is not available for this role. Budget is £75k-£85k + benefits including bonus. 2 stage … interview process - 1st stage call with manager, final stage with team. Data/MLOps Engineer - Python, SQL, AWS, Azure More ❯

experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and NLP Knowledge of Azure ML Pipelines, MLflow and other MLOps practices In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment are acting as an Employment Agency, and when advertising temporary/contract vacancies JNC Recruitment are More ❯

experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and NLP Knowledge of Azure ML Pipelines, MLflow and other MLOps practices In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment are acting as an Employment Agency, and when advertising temporary/contract vacancies JNC Recruitment are More ❯

experience working with data processing tools Experience with Microsoft Copilot and OpenAI, with a strong understanding of Deep Learning and NLP Knowledge of Azure ML Pipelines, MLflow and other MLOps practices In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment are acting as an Employment Agency, and when advertising temporary/contract vacancies JNC Recruitment are 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 ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with More ❯

AI features, including retrieval-augmented generation (RAG), internal LLM-based tools, and content delivery workflows. Experience with vector stores, agent frameworks, or scalable data workflows is all relevant here. MLOps & Deployment: Build and maintain the infrastructure behind our AI stack – including serving models via APIs, monitoring performance, and deploying systems to the cloud. AWS is a plus, but experience with 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 libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and More ❯