9 of 9 Machine Learning Jobs in Cheshire

training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a More ❯

leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling abilities to … findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills and create compelling visual narratives from data Experience with statistical modelling, machine learning techniques, and data visualisation tools such as Power BI Comfortable managing large-scale survey programmes and working with both quantitative and qualitative customer feedback data Strong communication More ❯

holidays (option to buy/sell after 2 years) Bonus scheme recognising high performance Life assurance and employer pension contributions Choice of tech setup to suit your working style Learning & development budget + 1:1 coaching Cycle-to-work scheme & free parking Hybrid working model with flexible start/finish times £100 annual home office allowance DATA SCIENTIST ROLE … build, and deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You’ll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units. You’ll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions … data quality and monitoring. KEY SKILLS/EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical stakeholders Previous experience in monitoring More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

and insight requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working from Manchester hub Private healthcare & pension Consulting-style career progression Opportunities to More ❯

ML/Ops Engineer Permanent Up to £70,000 (depending on experience) Hybrid (London/Manchester with flexibility) Innovative Start-Up | Cutting-Edge AI/ML Projects *Must Hold Enhanced DV Clearance* Were working with an innovativeAI start-up thats pushing the boundaries of data, automation, and applied ML. Theyre building innovative solutions for real-world challenges and are looking … for an ML/Ops Engineer to help them scale their national security arm. What Youll Do Design and manage robust ML pipelines for training, testing, and deploying models Build and maintain scalable cloud infrastructure for data and ML workflows Collaborate with data scientists and engineers to bring models into production Implement best practices for CI/CD, monitoring, and More ❯

we do What Youll Bring: Extensive experience delivering commercial value through data science Deep expertise in predictive modelling, optimisation and personalisation Mastery of Python/R, SQL and modern ML tools (ML Ops, Docker, DBT) A passion for storytelling with data and influencing strategic decisions A collaborative mindset and a drive to lead innovation We take our inspiration from pets More ❯

stakeholder workshops: align priorities, define value metrics, and set success criteria across business and tech. Translate strategy into delivery: shape target architecture and backlog (platforms, pipelines, governance, analytics/ML). Course-correct initiatives: identify low-value work, re-prioritise to higher-impact opportunities, and prove value quickly. Oversee delivery quality: steer squads across data engineering, analytics, and data science … through outcomes: build trusted relationships and spot expansion opportunities via delivered value. Skills & Experience Consulting leadership: proven experience leading data/analytics strategy programmes (with exposure to AI/ML preferred). Business & technical bilingual: credible with execs and architects alike; able to frame trade-offs and influence decisions. Broad technical grasp: modern data platforms (Azure/AWS/GCP … ingestion/ELT, modelling, governance (policies, lineage, MDM), BI, and ML use cases. Hands-on when needed: comfortable diving into discovery, prototyping value cases, and structuring delivery backlogs. Value & adoption mindset: measurable outcomes, TCO awareness, and practical operating models (people, process, tech). Strong facilitation & comms: runs C-level workshops, produces clear roadmaps, and tells compelling data-led stories. Coaching More ❯