201 to 225 of 248 Machine Learning Jobs in the North West

projects. Although not a requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will be asked two questions ...

Head of Data Science to lead a growing team of 6+ scientists. This role involves setting the technical direction and driving the transition towards machine … learning engineering, aligning with company-wide objectives. The ideal candidate will have proven leadership experience and a strong background in building and deploying ML models at scale. This is a fantastic opportunity to shape the data science strategy and support career growth within the team. #J-18808-Ljbffr ...

working with and influencing senior stakeholders• Strong project management capability, with a track record of delivering transformation programmes• A strong understanding of AI concepts (machine learning, NLP, generative AI, automation) and how they’re applied to real business environments• Experience leading delivery of digital, data, automation ...

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team AI platforms are still mostly run like … alerting on. Incident management: Calm, methodical instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What you’ll need...Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning ...

Account & Identity - a pivotal role sitting at the centre of their digital transformation. This is a rare opportunity to shape how data, AI/ML and identity platforms operate at national and global scale, underpinning everything from person click apply for full job details ...

real-time betting markets in Manchester. You will build advanced pricing models for sports products and in-play decisions using state-of-the-art ML techniques. The role offers hybrid working within the Quantitative Analysis team, with opportunities to influence pricing, risk and product strategy while mentoring teammates. #J ...

FTPS and automated data retrieval CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows … understanding of platform, DevOps and systems engineering.They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they’ll want to hear about them.A STEM background is beneficial, but not essential.Nice to haveDatabricks ...

beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business … Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. At CreateFuture, the Senior Cloud Engineer is a vital individual contributor … Azure AZ-104). At least 1 professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job DescriptionAs a Data Architect you will help … ensure scalable, high-performance applications: Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal Consultant ...

hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will own delivery, challenge … business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial stakeholders. Proficient ...

into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations … functional teams, including Architects, Product Managers, and engineering leads, to deliver innovative and impactful solutions.Mentor and guide junior developers, fostering a culture of continuous learning and knowledge sharing.Oversee the implementation and maintenance of CI/CD pipelines to ensure effi cient and reliable software delivery.Maintain high standards of code ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … mental, physical, and financial well-being.Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content.Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work — use the office ...

solutionsHelping Version 1 work on proposals with your technical skillsUse your expertise to provide some thought leadershipSignificant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML … prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud security, networking, and cost optimisation for AI/ML workloads.Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams.QualificationsEssential criteria:Experience ...

Security Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable.AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment of AI services in cloud platforms.Application Security ...

Domains and their capabilities within Azure/GCP and SME experience in at least one area. Familiarity in AWS is also desirable. AI/ML security: Knowledge of AI/ML threats and risks, with experience applying security controls for secure deployment of AI services in cloud platforms. Application Security ...

Technology. Proven experience in business development within a medium to large scale IT services provider specifically into the Insurance sector Experience with AI/ML use cases in underwriting, claims, and fraud. Familiarity with cloud ecosystems (AWS, Azure), actuarial data environments, and Insurtech integration. Additional InformationWhy join Version 1 Share … employees.Professional Growth: We offer peer mentorship programs and career development opportunities to help you reach your full potential, giving you full access to modern learning platforms to grow your skills.Work-Life Balance: We understand the importance of work-life balance and offer flexible working arrangements.Supportive Community: Join a team ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

Forge Holiday Group in the UK is hiring a Senior AI/ML Engineer to design, build, and deploy scalable AI solutions across our multi-brand platform. You’ll lead end-to-end data pipelines and ML models powering customer interactions and business insights. You will mentor engineers, collaborate with ...