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- Tasks: Lead the delivery of cutting-edge ML and GenAI solutions in secure environments.
- Company: Global tech consultancy focused on AI, data, and cloud programmes.
- Benefits: Competitive salary, private medical insurance, and 25 days annual leave.
- Other info: Opportunities for leadership roles and ongoing training in a dynamic setting.
- Why this job: Make a real impact by building and deploying production-grade AI systems.
- Qualifications: Strong Python skills and experience in a production ML environment.
The predicted salary is between 68000 - 75000 £ per year.
Location: London / Manchester / Bristol
Salary: London (up to £75,000) / Regional (up to £68,000) + package (DOE)
About the Role
Our client is a global technology consultancy delivering large-scale AI, data, and cloud programmes across government and defence. This role sits within a specialist Data Science and MLOps capability focused on deploying real-world machine learning and GenAI solutions in highly secure environments. This is a hands-on, delivery-focused position. You’ll be building and deploying models, leading small teams, and working directly with clients to implement scalable AI systems that operate in production.
What You’ll Be Doing
- Leading the delivery of ML and GenAI solutions within secure client environments
- Building, deploying, and optimising LLMs and ML models across cloud or HPC platforms
- Acting as the technical SME for Machine Learning and Large Language Models
- Managing day-to-day technical delivery and mentoring junior team members
- Working closely with clients to translate requirements into scalable solutions
- Contributing to internal capability growth and innovation across AI offerings
Ideal Background
- Active DV clearance
- Strong Python development experience in a production ML environment
- Experience with one or more of the following: RAG (including Graph RAG), Agentic AI systems and architectures, Computer Vision / Vision Language Models, Audio or multimodal AI
- Experience with Docker, Linux/Unix, Git, and testing practices
- Exposure to AWS or Azure for ML deployment
- Understanding of data governance and secure system design
Nice to have:
- GPU utilisation in cloud environments
- Monitoring and observability for ML systems
- API development experience
- CI/CD pipelines and DevOps/Data Engineering practices
What You’ll Receive
- Competitive salary and comprehensive benefits package
- 25 days annual leave plus additional days for charitable work
- Private medical insurance
- Access to high-impact AI projects within secure environments
- Clear progression into leadership and specialist career paths
- Ongoing investment in training, certifications, and development
Who Should Apply
- Data Scientists or ML Engineers already operating at senior level
- Individuals comfortable in client-facing, consultancy environments
- Candidates looking to work on production-grade AI systems, not research
- Professionals with strong technical depth who can lead delivery and influence stakeholders
If you’re building and deploying ML systems today and want to step into a role with more ownership, client exposure, and impact, this is a strong move. Send your CV or reach out directly to discuss.
Please note: Active DV (Developed Vetting) clearance is a strict requirement for this role. Candidates without current DV clearance cannot be considered.
Data Science Specialist employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Specialist
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data science community. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and GenAI solutions. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. Brush up on your Python skills and be ready to discuss your experience with ML models and cloud platforms. We recommend doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to reach out if you have questions about the role or the application process!
We think you need these skills to ace Data Science Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Science Specialist role. Highlight your Python development experience and any work with ML models, as these are key for us.
Showcase Your Projects: Include specific examples of projects where you've built or deployed ML solutions. We want to see your hands-on experience, especially in secure environments, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your technical expertise and how it relates to the role. We appreciate a well-structured application that gets to the point.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in AI and data science!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific ML frameworks mentioned in the job description. Brush up on your experience with Docker, AWS, or Azure, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Client Interaction Skills
Since this role involves working closely with clients, prepare examples of how you've successfully translated technical requirements into scalable solutions. Think about times when you’ve led a project or mentored junior team members, as these experiences will highlight your leadership capabilities.
✨Prepare for Technical Questions
Expect to dive deep into machine learning concepts, especially around LLMs and GenAI solutions. Be ready to explain your thought process behind building and deploying models, and how you ensure they operate securely in production environments. Practising common technical interview questions can help you feel more confident.
✨Understand the Company’s Mission
Research the consultancy’s projects and values, particularly their focus on AI and secure environments. This will not only help you tailor your answers but also demonstrate your genuine interest in the role. Showing that you align with their mission can set you apart from other candidates.