At a Glance
- Tasks: Design and implement cutting-edge AI and ML systems in a collaborative environment.
- Company: Join a global tech leader driving advanced AI capabilities.
- Benefits: Competitive daily rate, hybrid work model, and long-term project opportunities.
- Other info: Dynamic role with significant influence and career growth potential.
- Why this job: Make a real impact on AI engineering and influence the future of technology.
- Qualifications: Deep experience in Python, AI/ML engineering, and cloud platforms like AWS.
The predicted salary is between 81000 - 99000 £ per year.
Staff ML Engineer | Agentic AI & Applied ML | London (3 days per week on-site) | Contract | Inside IR35
We're supporting a global technology-driven organisation that's scaling advanced AI capability across its UK engineering function.
The organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks.
The next challenge is moving beyond individual use cases: driving adoption across engineering teams, establishing common engineering patterns and enabling increasingly complex AI and ML solutions to operate safely and reliably in production.
This is a senior hands-on Staff Engineer position with significant influence over the technical direction of AI Engineering across the organisation.
You'll be responsible for
- Designing robust, production-grade AI and ML systems
- Driving adoption of Agentic AI across multiple engineering teams
- Defining reusable engineering standards, architectures and implementation patterns
- Designing and evolving production RAG and retrieval architectures
- Establishing effective Lang Graph/Lang Chain patterns for agentic applications
- Improving AI evaluation, testing, observability and production monitoring
- Developing guardrails, controls and approaches to hallucination and model risk
- Supporting the move towards increasingly high-risk and high-complexity AI/ML use cases
- Establishing best practice across MLOps, CI/CD and deployment
- Influencing senior engineers and technical stakeholders without direct line management
- Helping engineering teams use AI-assisted development tools effectively within their workflows
We're looking for deep experience across
- Python and strong software engineering fundamentals
- Production Machine Learning / AI engineering
- AWS
- Agentic AI and LLM-based applications
- Retrieval Augmented Generation (RAG)
- Lang Chain and/or Lang Graph
- Vector databases and retrieval
- MLOps and production deployment
- AI evaluation, testing and observability
- AI governance, model risk and engineering controls
- ML frameworks such as Py Torch, Tensor Flow or Scikit-learn
Experience operating in complex, regulated or high-risk environments would be particularly valuable.
More important than any individual technology is the ability to take sophisticated AI/ML use cases from concept into production, make sound engineering decisions and raise engineering standards across multiple teams.
You'll also be joining an engineering environment actively adopting AI-assisted development tooling, including Claude, so we're particularly interested in engineers who are already using AI to improve their own software engineering workflows.
- Contract
- £800–1,200 per day inclusive
- Initial 6-month contract with a long-term programme roadmap
- Inside IR35
- London – 3 days per week on-site
Staff ML Engineer | Agentic AI & Applied ML | London (Hybrid) | Contract | Inside IR35 employer: WeDo Technology Solutions Limited Careers
Join a forward-thinking technology company that is at the forefront of AI innovation, where your role as a Senior AI DevSecOps Engineer will be pivotal in shaping secure engineering practices. With a mature security function and a collaborative work culture, you'll have the autonomy to drive meaningful change while enjoying comprehensive benefits and opportunities for professional growth in a hybrid working environment. This is not just a job; it's a chance to make a real impact in a dynamic field that values your expertise and creativity.
Contact Details:
WeDo Technology Solutions Limited Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Engineer | Agentic AI & Applied ML | London (Hybrid) | Contract | Inside IR35
✨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 WeDo Technology Solutions Limited Careers 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 WeDo Technology Solutions Limited Careers.
✨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 WeDo Technology Solutions Limited Careers.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like WeDo Technology Solutions Limited Careers that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Staff ML Engineer | Agentic AI & Applied ML | London (Hybrid) | Contract | Inside IR35
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 WeDo Technology Solutions Limited Careers.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeDo Technology Solutions Limited Careers 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 WeDo Technology Solutions Limited Careers
✨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 WeDo Technology Solutions Limited Careers 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.
