At a Glance
- Tasks: Develop and deploy advanced AI algorithms to automate processes and extract insights.
- Company: Innovative organisation focused on impactful public sector projects.
- Benefits: Competitive salary, pension contributions, generous leave, and life assurance.
- Other info: Opportunities for mentorship and career growth in a dynamic tech landscape.
- Why this job: Make a real difference with cutting-edge technology in an inclusive, collaborative environment.
- Qualifications: Expertise in machine learning, AI research, and complex system management.
The predicted salary is between 60000 - 80000 € per year.
Work on impactful public sector and mission‑critical digital projects that make a positive difference to people’s lives. This organisation specialises in solving complex technical challenges using modern tools, emerging technologies, and innovative thinking.
As a Machine Learning Engineer (AI), you will research, develop, and test advanced AI algorithms, models, and technologies that enable organisations to automate processes and extract meaningful insights from data. You will build complex machine learning models, design and manage MLOps pipelines, and ensure models remain performant, secure, and scalable in production environments. The role also includes mentoring junior team members, influencing technical decisions, and solving complex, non‑routine technical problems. The culture is inclusive, collaborative, and innovation‑driven. The organisation values proactive, positive‑thinking individuals who enjoy tackling technical challenges.
Role Objectives
- Model Development and Delivery
- Design, build, test, and deploy complex machine learning models.
- Select appropriate modelling approaches for product and service use cases.
- Ensure models meet performance, scalability, and quality standards.
- MLOps and Deployment
- Design and manage robust MLOps pipelines, including CI/CD processes.
- Implement monitoring, retraining, and lifecycle management.
- Deploy models into production environments and validate performance.
- Ensure models remain safe, secure, and effective in live systems.
- Advanced Technical Problem Solving
- Act as a subject matter expert for complex, non‑routine machine learning challenges.
- Develop innovative solutions to high‑risk or ambiguous problems.
- Customise, optimise, retrain, and maintain existing models.
- Integration and Collaboration
- Work cross‑functionally to integrate machine learning models into existing systems.
- Collaborate with engineers, data scientists, and technical stakeholders.
- Ensure production systems meet reliability and security standards.
Requirements
- Broad expertise in machine learning algorithms, frameworks, and best practices.
- Experience planning and conducting research activities within AI or generative AI domains.
- Ability to evaluate emerging AI technologies for business relevance and feasibility.
- Experience delivering complex proofs of concept and experimental prototypes.
- Recognised technical authority within AI or generative AI.
- Strong data science capability supporting model development.
- Proven experience building, deploying, and managing complex machine learning systems.
Inclusion Statement
Candidates are encouraged to apply even if they do not meet every requirement. The organisation values diversity and welcomes applications from individuals across all backgrounds, including underrepresented communities. Reasonable adjustments can be made throughout the recruitment process to support individual needs.
Security Requirements
This role requires eligibility for government‑level security clearance. Candidates must have the legal right to work in the UK without sponsorship and meet residency requirements for clearance eligibility.
Benefits
Competitive salary reviewed annually. Employer pension contribution starting at 5 percent, increasing with tenure. Group Life Assurance. 25 days annual leave plus.
Lead Machine Learning Engineer, AI in London employer: Virtual Hire Staffing
As a Lead Machine Learning Engineer in this innovative organisation, you will be part of a collaborative and inclusive culture that prioritises impactful public sector projects. With a focus on employee growth, you will have opportunities to mentor junior team members and influence technical decisions while enjoying competitive benefits such as a generous pension scheme and 25 days of annual leave. This role not only allows you to tackle complex technical challenges but also contributes to meaningful advancements that positively affect people's lives.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer, AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, models, and any cool AI solutions you've developed. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and problem-solving scenarios related to machine learning. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're proactive and genuinely interested in the role.
We think you need these skills to ace Lead Machine Learning Engineer, AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Machine Learning Engineer role. Highlight your expertise in machine learning algorithms and any relevant projects you've worked on, especially those that showcase your problem-solving abilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any experience you have with MLOps and collaboration with cross-functional teams.
Showcase Your Projects:If you've built or deployed any machine learning models, make sure to include them in your application. We love seeing real-world examples of your work, so link to your GitHub or any relevant portfolios that demonstrate your technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our innovative and collaborative culture!
How to prepare for a job interview at Virtual Hire Staffing
✨Know Your Algorithms
Brush up on your machine learning algorithms and frameworks. Be ready to discuss specific models you've developed or worked with, and how they apply to real-world problems. This shows you not only understand the theory but can also implement it effectively.
✨Showcase Your MLOps Knowledge
Be prepared to talk about your experience with MLOps pipelines. Discuss any CI/CD processes you've implemented and how you've ensured model performance in production. This will demonstrate your ability to manage the lifecycle of machine learning models.
✨Problem-Solving Mindset
Expect to face some complex technical challenges during the interview. Approach these problems with a positive attitude and be ready to share examples of how you've tackled similar issues in the past. Highlight your innovative thinking and adaptability.
✨Collaboration is Key
Since this role involves working cross-functionally, emphasise your teamwork skills. Share experiences where you've collaborated with engineers or data scientists to integrate machine learning models into existing systems. This shows you're a team player who values collaboration.
