ML Engineer

Sanderson Government & Defence; City Of London; Hybrid; GBP 120,000 - 157,000; Full time

Benefits offered by this job

BPSS clearance

Hybrid work model

Job summary

Sanderson Government & Defence is seeking an experienced ML Engineer to join a high-profile programme in West London. You will design, train and deploy scalable ML solutions for personalisation and recommendations.

The role requires hands-on Python, modern ML frameworks, and building robust data pipelines, with a focus on production reliability and close collaboration with cross-functional teams.

This 6-month contract role is hybrid with two onsite days per week and BPSS clearance is required.

Qualifications

• Strong production ML experience with deployment.

Responsibilities

• Design, train and optimise ML models for personalisation and recommendations.

Skills

Python

ML frameworks

Data pipelines

A/B testing

Stakeholder engagement

Agile delivery

Tools

TensorFlow/PyTorch

Job description

ML Engineer

£750 p/day | Inside IR35 | 6 Months | West London (2 days onsite) | BPSS Required

We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build impactful customer-facing products.

Key Responsibilities

• Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis.
• Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets.
• Deploy, monitor and maintain machine learning models in production environments, ensuring performance, reliability and ongoing optimisation.
• Design and analyse A/B tests and offline experiments to measure model effectiveness and drive continuous improvement.
• Collaborate closely with data scientists, engineers, product teams and stakeholders to align ML solutions with business and user requirements.
• Research emerging developments in machine learning, deep learning and personalisation technologies, identifying opportunities to enhance existing capabilities.

Essential Skills & Experience

• Strong commercial experience building and deploying machine learning solutions in production environments.
• Hands-on expertise with recommendation systems, ranking models, personalisation, predictive analytics or related ML applications.
• Experience developing scalable data pipelines and working with large, complex datasets.
• Strong Python skills and experience with modern ML frameworks and tooling.
• Proven ability to design, execute and interpret experimentation frameworks, including A/B testing.
• Experience working within agile, multidisciplinary delivery teams.
• Excellent stakeholder engagement and communication skills.

Role Details

• Rate: Up to £750 per day
• Contract: 6 Months
• IR35: Inside IR35 (via Umbrella)
• Location: Hybrid, with 2 days per week onsite in West London
• Clearance: BPSS required
• Interview: Technical interview process

If you're an experienced ML Engineer with a track record of delivering machine learning solutions at scale and are looking for your next contract opportunity, we'd love to hear from you.

Reasonable Adjustments

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.