At a Glance
- Tasks: Lead teams to design and deliver innovative AI solutions in healthcare and beyond.
- Company: Dynamic tech firm focused on cutting-edge AI and machine learning.
- Benefits: Competitive salary, bonus, hybrid working, and opportunities for professional growth.
- Other info: Join a collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI while leading talented teams and tackling complex challenges.
- Qualifications: Experience in AI engineering, strong leadership skills, and proficiency in Python.
The predicted salary is between 72000 - 88000 £ per year.
We are seeking an experienced AI Engineering Manager to lead the design, development and delivery of innovative AI solutions for complex, large-scale environments. This is a hands-on technical leadership role combining AI engineering, solution architecture, project delivery and people management.
You will lead multidisciplinary teams to take AI and machine learning solutions from concept through to production, ensuring they are scalable, secure, reliable and deliver measurable value. Your initial work will focus on healthcare, with further opportunities across public sector and other highly regulated environments.
The successful candidate will be comfortable operating as the senior technical lead on projects, working closely with clients and senior stakeholders while guiding teams across software engineering, data engineering and cloud/platform engineering.
Key Responsibilities
- Lead multidisciplinary teams delivering production-grade AI and machine learning solutions.
- Own technical direction, architecture and engineering standards across AI projects.
- Design and deliver solutions involving generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering and agentic AI.
- Establish robust approaches to model evaluation, monitoring, performance measurement and continuous improvement.
- Drive high-quality engineering practices, including Python development, automated testing, code reviews and CI/CD.
- Design and deliver scalable cloud-based AI solutions using platforms such as Microsoft Azure or AWS, alongside technologies including Docker and Kubernetes.
- Work with large-scale, unstructured and multimodal datasets to develop effective AI-enabled solutions.
- Ensure responsible AI principles are embedded throughout delivery, considering security, privacy, ethics, interpretability and governance.
- Build trusted relationships with clients and senior stakeholders, translating complex technical concepts into clear business outcomes.
- Coach, mentor and develop engineers, supporting technical excellence and continuous learning.
- Contribute to project planning, delivery governance and the development of new AI capabilities and propositions.
Essential Experience
- Proven experience leading multidisciplinary teams delivering AI or machine learning solutions into production.
- Strong technical leadership and architecture experience across AI engineering and software delivery.
- Practical knowledge of generative AI, LLMs, RAG, prompt engineering, agentic AI and model evaluation.
- Strong Python development skills and a sound understanding of software engineering best practice.
- Experience delivering AI solutions at scale on Azure or AWS, ideally using containerisation and orchestration technologies such as Docker and Kubernetes.
- Experience working with complex datasets, including unstructured or multimodal data.
- An understanding of responsible AI, security, privacy and the governance considerations involved in deploying AI solutions.
- Demonstrable experience managing, mentoring and developing technical teams.
- Strong client-facing communication skills, with the ability to engage senior stakeholders and lead technical discussions.
Desirable Experience
- Experience with PyTorch, TensorFlow or other machine learning frameworks.
- Knowledge of LLM fine-tuning, model distillation and optimisation techniques.
- Experience with vector databases, semantic search, knowledge graphs or related technologies.
- Familiarity with AI governance frameworks, security standards or ISO 42001.
- Contributions to open-source projects, research or the wider AI engineering community.
- Experience supporting presales, shaping AI propositions or identifying opportunities to commercialise AI capabilities.
The Ideal Candidate
You will be an accomplished AI engineering leader who combines strong technical depth with the ability to lead people, manage complex delivery and build trusted client relationships. You will enjoy working in a collaborative consulting environment, tackling challenging problems and delivering AI solutions that move beyond experimentation into real-world use.
Security clearance: Candidates must already hold, or be eligible to obtain, UK Security Check (SC) clearance.
Engineering Manager Machine Learning in London employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager Machine Learning in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ANSON MCCADE or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ANSON MCCADE.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ANSON MCCADE.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Engineering Manager Machine Learning in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ANSON MCCADE.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ANSON MCCADE and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ANSON MCCADE
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ANSON MCCADE uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
