Senior Machine Learning Engineer
<p><b>Salary: £37,000 - 68,500 per year</b></p>
<b>Requirements:</b>
<ul><li>Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Solid software engineering skills, with strong Python programming experience.</li><li>Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes.</li><li>Understanding of probability, statistics, and key supervised/unsupervised learning methods.</li><li>Ability to lead projects, scope work, and deliver solutions at pace.</li><li>Excellent communication skills, able to engage technical and non-technical stakeholders.</li><li>Candidates must hold sole British nationality and have active SC Clearance.</li></ul>
<b>Responsibilities:</b>
<ul><li>Lead the design and deployment of machine learning infrastructure and software for Defence programmes.</li><li>Build scalable, reusable MLOps tools to accelerate project delivery.</li><li>Work closely with data scientists, engineers, and product teams to integrate advanced AI into mission-critical systems.</li><li>Engage directly with clients to understand technical requirements and translate them into practical solutions.</li><li>Provide guidance and leadership to junior engineers, championing best practices and technical standards.</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>AWS</li><li>Azure</li><li>Cloud</li><li>Docker</li><li>GCP</li><li>Kubernetes</li><li>Machine Learning</li><li>PyTorch</li><li>Python</li><li>Security</li><li>TensorFlow</li></ul>
<p><b>More:</b></p>
<p>We are a fast-scaling AI consultancy redefining how advanced AI is deployed across Defence. This role offers a unique opportunity to take cutting-edge machine learning out of the lab and implement it into real-world systems that strengthen security. We offer a competitive salary range of £90,000 - £110,000 based on experience, along with a pension, medical care, and a discretionary bonus.</p>
<p>last updated 13 week of 2026</p>
<b>Requirements:</b>
<ul><li>Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Solid software engineering skills, with strong Python programming experience.</li><li>Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes.</li><li>Understanding of probability, statistics, and key supervised/unsupervised learning methods.</li><li>Ability to lead projects, scope work, and deliver solutions at pace.</li><li>Excellent communication skills, able to engage technical and non-technical stakeholders.</li><li>Candidates must hold sole British nationality and have active SC Clearance.</li></ul>
<b>Responsibilities:</b>
<ul><li>Lead the design and deployment of machine learning infrastructure and software for Defence programmes.</li><li>Build scalable, reusable MLOps tools to accelerate project delivery.</li><li>Work closely with data scientists, engineers, and product teams to integrate advanced AI into mission-critical systems.</li><li>Engage directly with clients to understand technical requirements and translate them into practical solutions.</li><li>Provide guidance and leadership to junior engineers, championing best practices and technical standards.</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>AWS</li><li>Azure</li><li>Cloud</li><li>Docker</li><li>GCP</li><li>Kubernetes</li><li>Machine Learning</li><li>PyTorch</li><li>Python</li><li>Security</li><li>TensorFlow</li></ul>
<p><b>More:</b></p>
<p>We are a fast-scaling AI consultancy redefining how advanced AI is deployed across Defence. This role offers a unique opportunity to take cutting-edge machine learning out of the lab and implement it into real-world systems that strengthen security. We offer a competitive salary range of £90,000 - £110,000 based on experience, along with a pension, medical care, and a discretionary bonus.</p>
<p>last updated 13 week of 2026</p>