At a Glance
- Tasks: Shape the future of AI Engineering and drive adoption across teams.
- Company: Join a global tech leader revolutionising enterprise AI in London.
- Benefits: Competitive daily rate, flexible work schedule, and long-term project opportunities.
- Other info: Collaborative environment with potential for career growth.
- Why this job: Make a real impact on AI solutions and influence engineering standards.
- Qualifications: Deep experience in Python, AWS, and AI engineering best practices.
The predicted salary is between 80000 - 100000 £ per year.
We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function. Rather than building AI capability from scratch, the organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. The challenge now is driving consistent adoption, establishing engineering standards and enabling multiple engineering teams to build production-ready AI solutions using common patterns and best practice.
This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation. You'll be responsible for:
- Defining engineering standards for enterprise AI
- Driving adoption of Agentic AI across multiple engineering teams
- Designing production-grade RAG architectures
- Establishing LangGraph and LangChain implementation patterns
- Designing scalable vector database retrieval strategies
- Leading best practice across MLOps, CI/CD and model deployment
- Improving AI testing, evaluation and observability
- Implementing guardrails and hallucination mitigation
- Influencing senior engineering stakeholders without direct line management
We're looking for someone with deep experience in:
- Python
- AWS
- LangChain
- LangGraph
- Retrieval Augmented Generation (RAG)
- Vector databases
- MLOps
- Production Machine Learning platforms
- AI governance and engineering best practice
- PyTorch, TensorFlow or Scikit-learn
More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product teams.
Contract £(Apply online only) per day (inclusive) Initial 6 months with long-term programme roadmap Inside IR35 London (3 days per week)
Staff ML Engineer | Contract | London | Inside IR35 employer: WeDoTech
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in Bristol. As a D365 F&O Solution Architect, you'll have the opportunity to lead impactful projects across Europe, with a strong focus on employee growth and development. Enjoy a competitive salary, flexible hybrid working arrangements, and the chance to shape the future of finance solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Engineer | Contract | London | Inside IR35
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace Staff ML Engineer | Contract | London | Inside IR35
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Staff ML Engineer | Contract | London | Inside IR35 at WeDoTech, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at WeDoTech.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at WeDoTech
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
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Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
