Senior Data Scientist
<p><b>Salary: £50,000 - 90,000 per year</b></p>
<b>Requirements:</b>
<ul><li>BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field</li><li>Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch)</li><li>Established track record of delivering ML solutions to customers and internal stakeholders</li><li>Deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision</li><li>Experience of training and developing AI models including Large Language Models</li><li>Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications</li><li>Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries</li><li>(Desirable) Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs / Docker)</li><li>(Desirable) Working knowledge of Linux systems, using basic commandline functionality</li><li>(Desirable) Experience of deploying AI models in a scalable way for external users</li><li>(Desirable) Experience working with cloud services</li><li>(Desirable) Experience of writing technical project proposals</li></ul>
<b>Responsibilities:</b>
<ul><li>Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance</li><li>Scope, design, and deliver data-centric solutions while collaborating across disciplines</li><li>Undertake research and applied AI/ML tasks on both customer and internal research projects</li><li>Provide technical leadership in small project groups</li><li>Generate ideas for new research directions and advise on group research ideas based on previous experience</li><li>Mentor more junior team members within their project team and the wider Strategic Research Group (SRG)</li><li>Deliver AI/ML/Data Science solutions to a broad range of problems in defence</li><li>Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery</li><li>Present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to various audiences</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>Cloud</li><li>Computer Vision</li><li>Docker</li><li>Linux</li><li>Machine Learning</li><li>PyTorch</li><li>Python</li><li>Security</li><li>TensorFlow</li></ul>
<p><b>More:</b></p>
<p>At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. We are dedicated to fuelling innovation and nurturing talent within a collaborative environment. Our team comprises Data Science, Machine Learning, and AI specialists who develop novel AI solutions to mission-focused problems. We offer a wealth of opportunities for professional development, a flexible working culture, and benefits such as 25 days holiday, a contributory pension scheme, and enhanced family-friendly policies. Join us in shaping the future of national security while investing in your growth and personal development.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field</li><li>Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch)</li><li>Established track record of delivering ML solutions to customers and internal stakeholders</li><li>Deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision</li><li>Experience of training and developing AI models including Large Language Models</li><li>Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications</li><li>Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries</li><li>(Desirable) Experience using robust ML pipelines, appropriate version control and environment management (e.g. venvs / Docker)</li><li>(Desirable) Working knowledge of Linux systems, using basic commandline functionality</li><li>(Desirable) Experience of deploying AI models in a scalable way for external users</li><li>(Desirable) Experience working with cloud services</li><li>(Desirable) Experience of writing technical project proposals</li></ul>
<b>Responsibilities:</b>
<ul><li>Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance</li><li>Scope, design, and deliver data-centric solutions while collaborating across disciplines</li><li>Undertake research and applied AI/ML tasks on both customer and internal research projects</li><li>Provide technical leadership in small project groups</li><li>Generate ideas for new research directions and advise on group research ideas based on previous experience</li><li>Mentor more junior team members within their project team and the wider Strategic Research Group (SRG)</li><li>Deliver AI/ML/Data Science solutions to a broad range of problems in defence</li><li>Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery</li><li>Present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to various audiences</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>Cloud</li><li>Computer Vision</li><li>Docker</li><li>Linux</li><li>Machine Learning</li><li>PyTorch</li><li>Python</li><li>Security</li><li>TensorFlow</li></ul>
<p><b>More:</b></p>
<p>At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. We are dedicated to fuelling innovation and nurturing talent within a collaborative environment. Our team comprises Data Science, Machine Learning, and AI specialists who develop novel AI solutions to mission-focused problems. We offer a wealth of opportunities for professional development, a flexible working culture, and benefits such as 25 days holiday, a contributory pension scheme, and enhanced family-friendly policies. Join us in shaping the future of national security while investing in your growth and personal development.</p>
<p>last updated 8 week of 2026</p>