Machine Learning Engineer

Entopy
Newmarket, United Kingdom
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£35,000
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Big Data Database Applications Python (Programming Language) Machine Learning Tensorflow Feature Engineering Pytorch Retrieval-Augmented Generation Large Language Models Generative AI
+4 more
Keras Build Management Data Analytics Machine Learning Operations

Job description

In this role, you will work on a variety of projects, including developing predictive ML solutions, exploring and analysing data, conducting domain research, and contributing to R&D initiatives to enhance our models and ML pipelines., * Design and develop ML solutions: Build innovative machine learning, AI, and data science solutions to address complex real-world challenges.

  • Explore and analyse data: Extract, clean, analyse, and interpret complex datasets to uncover patterns, generate insights, and identify opportunities.
  • Build and deploy predictive models: Develop, test, evaluate, and deploy predictive models and ML solutions that deliver practical value.
  • Develop custom algorithms: Design and implement tailored algorithms and analytical models to support operational and strategic decision-making.
  • Work across the ML lifecycle: Contribute to all stages of ML development, from problem definition and feature engineering to deployment, monitoring, and optimisation.
  • Drive continuous improvement: Enhance existing ML models, pipelines, and processes to improve performance, efficiency, and reliability.
  • Research and innovate: Explore emerging AI/ML technologies, experiment with new techniques, and contribute fresh ideas through research and development., * Work on technology that matters. Help transform how critical infrastructure operates, improving efficiency, resilience and sustainability.
  • Work with global leaders. Collaborate with some of the world’s largest organisations, solving real operational challenges.
  • Join at an exciting time. We’re entering a period of significant growth, creating opportunities for those joining us now.
  • Make a real impact. Work closely with our leadership and technical teams, with a genuine voice in shaping the business.
  • Grow with us. Develop your skills, take on new responsibilities and build your career as Entopy scales.
  • Be part of a great team. Join an ambitious, collaborative and supportive team that values hard work, fresh ideas and having fun along the way.

Requirements

We are looking for a talented, innovative, and self-motivated Machine Learning Engineer to join our team and tackle challenging real-world problems through machine learning., We are looking for someone with strong problem-solving skills, creativity, curiosity, and a proactive mindset who enjoys tackling complex challenges, exploring innovative ideas, and turning them into practical, impactful solutions., * Practical ML experience: Proven experience applying data science, machine learning, and AI techniques to solve real-world business problems and deliver meaningful outcomes.

  • Strong technical foundations: Solid understanding of machine learning algorithms, statistical methods, and analytical approaches to solving complex problems.
  • Python and ML frameworks: Strong Python programming skills and hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Keras.
  • Versatility and adaptability: Experience with a range of machine learning techniques, with the ability to quickly learn new concepts and adapt to unfamiliar domains.
  • Effective communication: Ability to clearly communicate complex technical concepts, analytical findings, and recommendations to both technical and non-technical audiences.
  • Research and problem-solving mindset: A rigorous scientific approach, creative thinking, intellectual curiosity, and the ability to independently investigate and solve challenging problems
  • Awareness of emerging technologies: Familiarity with modern AI/ML tools, frameworks, and industry developments, with an enthusiasm for exploring new approaches.
  • Desirable additional experience: Exposure to cloud platforms (particularly AWS), MLOps, Generative AI, LLMs, RAG, or domain knowledge in transport, energy, or maritime industries would be an advantage.

Above all, we’re looking for someone bright, driven and eager to learn, who wants to make a real impact and grow alongside the business.

Benefits & conditions

  • Competitive salary, reflecting experience and potential.
  • Potential equity opportunities for the right candidate.
  • Hybrid working, combining flexibility with time alongside our Cambridge-based team.
  • 25 days’ annual leave plus bank holidays.
  • Private healthcare and additional benefits.
  • Opportunities for professional development and career progression.
  • The chance to work at the cutting edge of applied AI, alongside a highly talented and ambitious team., * Casual dress
  • Free parking
  • On-site parking
  • Private medical insurance
  • UK visa sponsorship

About the company

Entopy is a fast-growing, award-winning AI company transforming how some of the world’s most critical infrastructure is managed and operated. Recently named AI SME of the Year at the 2026 National AI Awards, we’re at the forefront of applying advanced artificial intelligence to some of the most complex operational environments in the world.

Our technology brings together data, predictive AI, intelligent agents and operational experience into a unified intelligence layer, enabling organisations to understand their operations in real time, anticipate disruption and make better, faster decisions.

We’re already working with some of the world’s largest organisations across sectors including maritime, energy and transport, helping them solve real operational challenges with technology that is genuinely changing how they work.

Following several years of sustained growth, we’re entering an exciting new phase. Our technology is proven, our customer base is expanding, and the opportunity ahead of us is significant. We’re now looking for exceptional people to help us scale.

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