Data Science Jobs in Bury

4 of 4 Data Science Jobs in Bury

Data Science Manager - Remote

Bury, Greater Manchester, United Kingdom
Hybrid / WFH Options
Datatech Analytics
Data Science Manager - Remote Remote Working - UK Home-based, occasional travel into the office Negotiable to £66,197 (National) or Negotiable to £71,869 (London within the M25) Plus £7000 for exceptional candidates + home working allowance of £581 per annum Job Ref: J12946 Please note we can only accept applications from those with current UK working rights … for this role, this client cannot offer visa sponsorship. A new and exciting opportunity has arisen for a Data Science Manager with proven experience of managing, mentoring and upskilling Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of Data Science and AI programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding, clouding computing as well as leading data science teams to deliver data science projects is essential. You’ll have fantastic communication and influencing skills to lead both technical and non-technical stakeholders of all levels through the delivery process. Key Responsibilities: Lead the delivery More ❯
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MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK

Bury, Greater Manchester, UK
Hybrid / WFH Options
Enigma
Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯
Employment Type: Full-time
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AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote

Bury, Greater Manchester, United Kingdom
Hybrid / WFH Options
WMtech
launching GenAI products, including agentic systems and multi-agent frameworks, driving real-world AI applications from concept to deployment. Experience in fast-paced or startup environments. BSc in Computer Science, Data Science, or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following More ❯
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Pricing Data Scientist (Remote)

Bury, Greater Manchester, UK
Hybrid / WFH Options
Arthur Recruitment
I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to join a small, high-performing team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning … in a small team environment where initiative and independent working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯
Employment Type: Full-time
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