1 to 25 of 50 Permanent Machine Learning Jobs in Manchester

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Machine Learning Engineer to build the models and infrastructure that power Joveo's AI-driven hiring decisions. You will own the full ML lifecycle — from feature engineering to model deployment — ensuring our models are accurate, scalable, and production-ready. Key Responsibilities: - Design, train, and deploy machine learning … maintain feature stores - Develop model evaluation frameworks and monitor production model performance - Collaborate with data scientists to productionize experimental models - Build and maintain ML infrastructure — training pipelines, serving layers, and registries - Research and evaluate new ML techniques applicable to recruitment advertising Required Skills & Qualifications: - Strong proficiency in Python and ML ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. … relevant to hiring and talent Required Skills & Qualifications: - Strong foundation in machine learning, NLP, or applied AI - Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn) - Experience building and deploying LLM integrations or fine-tuned models - Familiarity with model serving infrastructure (e.g., SageMaker, Vertex AI, BentoML ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. … Joveo's vast datasets and build predictive models that directly improve hiring outcomes for employers globally. You will work at the intersection of statistics, machine learning, and product — turning data into decisions. Key Responsibilities: - Design and build predictive models and statistical analyses to solve business problems - Conduct exploratory ...

Python Software Engineer/Developer (Data ML) Remote UK to £75k Are you a data savvy Python Software Engineer? You could be progressing your career in as a hands-on Python Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European … at scale across all countries where the company operates. You'll design and develop reliable systems and shared capabilities that support the full ML lifecycle, from experimentation to production, taking a lead role in developing platform tools, shared services and infrastructure. Collaborating closely with product managers and stakeholders, including ...

find the right people, faster and fairer. But we're not done. Not even close. Role: MLOps Engineer Location: Remote Industry: Technology/AI & ML Infrastructure Job Function: MLOps/ML Platform Engineering Role Overview: We are hiring an MLOps Engineer to build and operate the infrastructure that takes Joveo … delivery pipeline — ensuring models are versioned, monitored, and deployed with the same rigour as our software systems. Key Responsibilities: - Build and maintain ML pipelines from training to deployment and monitoring - Design model registries, experiment tracking, and feature store infrastructure - Automate model retraining, validation, and deployment workflows - Monitor deployed models ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real … event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources ...

great opportunity to join a high-growth adtech scale-up where you can take ownership of large-scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI. THE COMPANY This is a UK-based adtech SaaS platform that using machine learning and real … event data Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency Refactoring poorly structured data into clean, well-governed, ML-friendly datasets Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation Ingesting and integrating new and under-utilised data sources ...

Client Travel Building models is one thing. Getting them to run reliably on real hardware is where it gets interesting. You’ll take advanced ML models and make them work in constrained, real-world environments — often on edge devices where compute, power and latency are all limited. This is applied … ML engineering: Deploying models onto embedded/edge hardware Optimising inference (TensorRT, quantisation, compression) Working closely with customers to integrate into real systems The work is hands-on, varied and close to deployment — not stuck in experimentation. You’ll likely bring: Strong experience with PyTorch/TensorFlow Experience deploying models ...

ROLE As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: Design and manage data … that prepare data for machine learning and analytics use cases. Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready. Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. Proven ability to work with high-volume event data ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. … Data Engineer Location: Remote Role Overview: We are hiring a Data Engineer to design, build, and maintain the data infrastructure that fuels Joveo's machine learning models and business intelligence. You will work at the intersection of software engineering and data — building pipelines that are reliable, scalable ...

design and run reliable, scalable data systems. Key responsibilities include: Designing and owning batch and streaming data ingestion pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating … implementation and understand how data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform ...

kind of environment where your work will genuinely matter. The Role As a Senior Data Scientist, you will: Design, build, and deploy machine learning models that underpin core decision-making systems Develop pricing, segmentation, and behavioural models to drive commercial optimisation Work closely with product, engineering, and business … Experimentation and measurement frameworks to validate impact Model explainability and interpretability for business users What We’re Looking For Strong background in data science, machine learning, or statistical modelling Proven experience delivering models into production environments Commercial awareness — you understand how data drives business decisions, not just technical ...

domain experts to ensure your work doesnt just function it lands, scales, and delivers measurable impact . What Youll Be Doing Building and deploying machine learning models into production environments Designing decisioning systems that optimise pricing, channel selection, and asset performance Developing explainable models (SHAP, LIME, feature importance … complex datasets across multiple markets Collaborating with product and engineering teams to embed models into live systems What Were Looking For Strong experience in machine learning, statistical modelling, or pricing/propensity modelling Proven track record of delivering models that go into production and stay there Experience working ...

apply; you might be working in Cloud Engineering and Security, UX, Site Reliability Engineering, Front-End Design, Agile, Solution Architecture, Data Engineering, or Machine Learning Operations. You’ll also have experience leading Agile project teams and evaluating customer business requirements. Upon joining, you’ll have access … wide range of learning resources from online courses conferences and opportunities to pursue formal qualifications (funded by us). We’ll provide all the support you need for a rewarding career, whether that’s through tailored training or flexible working options. In this role, we offer full-time, part ...

work collaboratively in a fast-paced environment. Excellent problem-solving and communication skills. Desirable Skills & Experience: Certification in Databricks or related technologies. Familiarity with machine learning and data analytics. Previous experience in data pipeline development. Knowledge of DevOps principles. Please note this role unfortunately is not able ...

analytical data processing Experience working with non-relational or semi-structured data sources Understanding of modern data modelling for analytics and reporting Awareness of machine learning workflows or advanced analytics use cases Understanding of networking, security and access control within AWS or Azure Awareness of data governance ...

About Joveo: Every company says they're "AI-first." We actually are. Joveo's recruitment advertising platform processes millions of hiring decisions through machine learning, real-time bidding, and predictive analytics — helping the world's largest employers find the right people, faster and fairer. … services and data pipelines that power Joveo's AI-driven hiring platform. You will write production Python at scale — from APIs to automation to ML-adjacent tooling — in a team that ships fast and thinks deeply. Key Responsibilities: - Develop robust Python services, APIs, and backend components - Build and maintain data ...

hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

Package: £26,000 basic + uncapped commission (Year 1 OTE: £40,000) Our client is a high-growth AI recruitment business specialising in placing machine learning engineers and data scientists into Series A–C tech companies across the UK and US. Average fees sit at £18k, with ...

validation, and monitoring. Contribute to modern data lakehouse and data warehousing architecture. Work closely with analysts and data scientists to enable advanced analytics and machine learning workloads. Investigate and resolve data quality issues and performance bottlenecks. Maintain clear data documentation and operational processes. Contribute to platform standards, patterns ...