At a Glance
- Tasks: Design and optimise machine learning models for personalisation and recommendation systems.
- Company: Join a high-profile programme in a dynamic tech environment.
- Benefits: Competitive daily rate, hybrid work model, and inclusive culture.
- Other info: Collaborative team atmosphere with opportunities for professional growth.
- Why this job: Work with cutting-edge ML tech and make a real impact on customer-facing products.
- Qualifications: Strong experience in machine learning, Python, and scalable data pipelines.
The predicted salary is between 63000 - 77000 £ per year.
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.
ML Engineer in Slough employer: Sanderson Government and Defence
As a Lead Network Engineer in Salisbury, you will join a dynamic team dedicated to maintaining and enhancing a critical network capability within a secure environment. Our company fosters a culture of collaboration and innovation, offering extensive opportunities for professional growth and development while prioritising diversity and inclusion. With a commitment to employee well-being and a supportive work atmosphere, we ensure that our team members thrive both personally and professionally.
Contact Details:
Sanderson Government and Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer in Slough
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Sanderson Government and Defence who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Sanderson Government and Defence!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Sanderson Government and Defence to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace ML Engineer in Slough
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Sanderson Government and Defence!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for ML Engineer at Sanderson Government and Defence! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Sanderson Government and Defence
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Sanderson Government and Defence uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Sanderson Government and Defence that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Sanderson Government and Defence, so it's relevant and sparks conversation during your interview.
