At a Glance
- Tasks: Lead the development of AI agents and define the ML roadmap for enterprise solutions.
- Company: Venture-backed enterprise AI company focused on intelligent systems.
- Benefits: Competitive salary, equity, and opportunities for professional growth.
- Other info: Join a collaborative team and influence product and architectural strategies.
- Why this job: Shape the future of AI while tackling real-world challenges in a dynamic environment.
- Qualifications: 7+ years in ML or applied AI, strong Python skills, and leadership experience.
The predicted salary is between 80100 - 97900 £ per year.
Head of Machine Learning - Enterprise AI Agents
Location
London - 2/3x a week on site
We're working with a venture-backed enterprise AI company building and deploying intelligent agents for complex, regulated organisations.
Their agents connect with existing enterprise systems, interpret unstructured information and complete multi-step operational workflows.
The focus is on building reliable AI systems that deliver measurable business outcomes-not simply impressive prototypes.
They're hiring a Head of Machine Learning to own the intelligence layer of the platform.
You'll set the technical direction across agent architecture, retrieval, evaluation and learning while remaining hands-on with the company's most difficult engineering challenges.
- What you'll be doing
- Define the ML and agent roadmap across orchestration, tool use, retrieval, memory and model selection
- Take agentic systems from prototype through to secure, monitored production deployments
- Build evaluation frameworks covering task success, groundedness, reliability, latency, cost and safety
- Work with forward-deployed teams and enterprise customers to translate complex workflows into technical solutions
- Make key architectural and build-versus-buy decisions
- Establish engineering standards across ML development, testing and deployment
- Design guardrails, auditability and human-in-the-loop controls
- Hire and lead a team of Applied ML and Agent Engineers
- Remain hands-on with architecture, prototyping and critical technical problems
- What we’re looking for
- 7+ years of experience building production ML or applied AI systems
- Recent hands-on experience developing LLM-powered products or AI agents
- Strong Python and ML engineering fundamentals
- Experience with agent orchestration, tool calling, APIs and retrieval-augmented generation
- A strong understanding of evaluations, observability, fallbacks and failure handling
- Experience owning systems across data, modelling, deployment, monitoring and iteration
- Experience deploying technology into enterprise or regulated environments
- Previous technical leadership, mentoring or team-building experience
- Comfortable working in an early-stage, 0-to-1 environment
- Able to communicate effectively with engineers, founders and senior customers
- Multi-agent or long-running agentic systems
- Financial services, insurance, legal, healthcare or another regulated industry
- Model routing, fine-tuning, synthetic data or reinforcement learning from feedback
- Forward-deployed engineering or customer-facing technical delivery
- Supporting enterprise technical discovery and sales processes
- Open-source contributions, technical writing or public speaking
- Own a company-defining technical function
- Build agents that complete real enterprise workflows
- Influence the product, architecture and commercial strategy
- Work directly with customers on complex deployment challenges
- Build the ML team around your technical vision
- Competitive salary and meaningful equity
- #J-18808-Ljbffr
Head of Machine Learning in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
SR2 is an excellent employer, offering a dynamic work culture that values innovation and collaboration in the heart of Edinburgh. With a focus on employee growth, we provide opportunities for professional development and the chance to make a meaningful impact in government digital transformation projects. Our flexible part-time role allows for a balanced work-life integration while contributing to significant public sector initiatives.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Machine Learning in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SR2 | Socially Responsible Recruitment | Certified B Corporation™!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Machine Learning at SR2 | Socially Responsible Recruitment | Certified B Corporation™.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SR2 | Socially Responsible Recruitment | Certified B Corporation™.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Machine Learning at SR2 | Socially Responsible Recruitment | Certified B Corporation™, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Machine Learning in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SR2 | Socially Responsible Recruitment | Certified B Corporation™, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SR2 | Socially Responsible Recruitment | Certified B Corporation™. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SR2 | Socially Responsible Recruitment | Certified B Corporation™!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
