51 to 75 of 118 Machine Learning Jobs in the North West

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 ❯

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 into … 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 ❯

Work Scheme: For the cyclists among us, we've got you covered. · Gear You’ll Love: Choose the tech that works for you, we'll try and source it! · Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. · Giving Back: Join us in supporting local charities … monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes. · Collaborate with teams to define relevant metrics, thresholds, and KPIs. · Build, maintain, and productionise machine learning and statistical models using Python and PySpark. · Deploy monitoring tools and models using AWS infrastructure. · Create scalable frameworks for future monitoring requirements across products and teams. · Investigate … for: · Proficiency in Python and SQL for analysis, model development, and data interrogation. · Experience in handling large datasets with PySpark and managing distributed data processing. · Comfortable deploying statistical or ML models into production environments. · Strong understanding of cloud infrastructure, preferably AWS. · A methodical, problem-solving mindset with high attention to detail. · Able to scope, define, and deliver complex solutions independently. More ❯

across sectors such as healthcare, defence, retail, and the public sector. In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions. This isn't just a technical role - you'll … tooling. Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders. Passion for solving complex problems and delivering operational change at pace. Adaptability, continuous learning, and a collaborative mindset. Desired Skills and Experience Consulting, Data Science More ❯

across sectors such as healthcare, defence, retail, and the public sector. In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions. This isn't just a technical role - you'll … tooling. Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders. Passion for solving complex problems and delivering operational change at pace. Adaptability, continuous learning, and a collaborative mindset. More ❯

across sectors such as healthcare, defence, retail, and the public sector. In this role, you'll work directly with clients to design and implement innovative digital solutions - from deploying machine learning models that reduce hospital admissions to building AI tools that optimise supply chains or support national policy decisions. This isn't just a technical role - you'll … tooling. Strong leadership and communication skills, with experience guiding teams and working with non-technical stakeholders. Passion for solving complex problems and delivering operational change at pace. Adaptability, continuous learning, and a collaborative mindset. Desired Skills and Experience Consulting, Data Science More ❯

as a Backend Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you’ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable developer to join a nationally respected cultural institution with an … automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Integration Developer - What you’ll be doing: As a Backend Integration Developer, you’ll work across backend systems, APIs, and digital platforms to More ❯

Data Analyst role within 12 months of graduation, we’ll refund 100% of your fees. What You’ll Gain - Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning - Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) - Real Projects: Work on real-world data challenges to showcase in your CV 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in More ❯

Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in More ❯

Partner with the CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. … delivery processes. Set standards for technical excellence, including architecture, testing, and release governance. Lead major strategic initiatives including platform re-architecture and tooling modernisation. Foster a culture of continuous learning, professional development, and staff engagement. What Were Looking For Proven experience as a senior, hands-off engineering leader within large-scale or high-availability environments. Strong background in Agile … Experience working closely with C-level stakeholders, especially CTOs or CIOs. Deep understanding of modern software architecture and DevSecOps principles. Exposure to, or a strong interest in, AI/ML technologies and their business application. Ability to scale and integrate offshore engineering teams and delivery partners. Track record of building and retaining high-performing, motivated technical teams. Why Join My More ❯

function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all More ❯

issues are addressed. Support team development through mentoring junior analysts, delivering technical training, and facilitating tabletop exercises. Lead use case development, approve tasks, and develop new detection content including machine learning analytics and security automation. Maintain and update SOC documentation, processes, procedures, and operational metrics/dashboard reporting. Build and enhance threat intelligence capabilities, sharing actionable insights across More ❯