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Featured Jobs

Machine Learning Engineer

Machine Learning Engineer / ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data Optimize model performance through advanced techniques including hyperparameter tuning,...

mthree
Old Bailey

Machine Learning Engineer - London

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The...

Michael Page
City of London

Machine Learning Research Engineer - NLP / LLM

An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will...

RedTech Recruitment Ltd
Horseheath

Machine Learning Engineer

Machine Learning Engineer: Xcede has started working with a leading AI solutions company. Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up future delivery, work closely with multidisciplinary...

Xcede
London

Machine Learning Engineer (AI infra)

base地设定在上海，全职和实习皆可，欢迎全球各地优秀的华人加入。 【关于衍复】 上海衍复投资管理有限公司成立于2019年，是一家用量化方法从事投资管理的科技公司。 公司策略团队成员的背景丰富多元：有曾在海外头部对冲基金深耕多年的行家里手、有在美国大学任教后加入业界的学术型专家以及国内外顶级学府毕业后在衍复成长起来的中坚力量；工程团队核心成员均来自清北交复等顶级院校，大部分有一线互联网公司的工作经历，团队具有丰富的技术经验和良好的技术氛围。 公司致力于通过10-20年的时间，把衍复打造为投资人广泛认可的头部资管品牌。 衍复鼓励充分交流合作，我们相信自由开放的文化是优秀的人才发挥创造力的土壤。我们希望每位员工都可以在友善的合作氛围中充分实现自己的职业发展潜力。 【工作职责】 1、负责机器学习/深度学习模型的研发，优化和落地，以帮助提升交易信号的表现； 2、研究前沿算法及优化技术，推动技术迭代与业务创新。 【任职资格】 1、本科及以上学历，计算机相关专业，国内外知名高校； 2、扎实的算法和数理基础，熟悉常用机器学习/深度学习算法(XGBoost/LSTM/Transformer等)； 3、熟练使用Python/C++，掌握PyTorch/TensorFlow等框架； 4、具备优秀的业务理解能力和独立解决问题能力，良好的团队合作意识和沟通能力。 【加分项】 1、熟悉CUDA，了解主流的并行编程以及性能优化技术； 2、有模型实际工程优化经验（如训练或推理加速）； 3、熟悉DeepSpeed, Megatron等并行训练框架； 4、熟悉Triton, cutlass，能根据业务需要写出高效算子； 5、熟悉多模态学习、大规模预训练、模态对齐等相关技术。

上海衍复投资管理有限公司
City of London

Machine Learning Engineer (AI infra)

base地设定在上海，全职/实习皆可，欢迎全球各地优秀的华人加入。 【关于衍复】 上海衍复投资管理有限公司成立于2019年，是一家用量化方法从事投资管理的科技公司。 公司策略团队成员的背景丰富多元：有曾在海外头部对冲基金深耕多年的行家里手、有在美国大学任教后加入业界的学术型专家以及国内外顶级学府毕业后在衍复成长起来的中坚力量；工程团队核心成员均来自清北交复等顶级院校，大部分有一线互联网公司的工作经历，团队具有丰富的技术经验和良好的技术氛围。 公司致力于通过10-20年的时间，把衍复打造为投资人广泛认可的头部资管品牌。 衍复鼓励充分交流合作，我们相信自由开放的文化是优秀的人才发挥创造力的土壤。我们希望每位员工都可以在友善的合作氛围中充分实现自己的职业发展潜力。 【工作职责】 1、负责机器学习/深度学习模型的研发，优化和落地，以帮助提升交易信号的表现； 2、研究前沿算法及优化技术，推动技术迭代与业务创新。 【任职资格】 1、本科及以上学历，计算机相关专业，国内外知名高校； 2、扎实的算法和数理基础，熟悉常用机器学习/深度学习算法(XGBoost/LSTM/Transformer等)； 3、熟练使用Python/C++，掌握PyTorch/TensorFlow等框架； 4、具备优秀的业务理解能力和独立解决问题能力，良好的团队合作意识和沟通能力。 【加分项】 1、熟悉CUDA，了解主流的并行编程以及性能优化技术； 2、有模型实际工程优化经验（如训练或推理加速）； 3、熟悉DeepSpeed, Megatron等并行训练框架； 4、熟悉Triton, cutlass，能根据业务需要写出高效算子； 5、熟悉多模态学习、大规模预训练、模态对齐等相关技术。

上海衍复投资管理有限公司
London
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Career Advice

Advance your ML career with expert advice, practical job search tips, and insightful industry guides.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

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