At a Glance
- Tasks: Develop and deploy innovative AI solutions in a fully remote environment.
- Company: Leading financial services business with a focus on cutting-edge technology.
- Benefits: Competitive daily rate, flexible remote work, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and offers support throughout the recruitment process.
- Why this job: Join a dynamic team and make an impact in the world of AI and machine learning.
- Qualifications: Experience in Generative AI, Python, and cloud-based AI/ML platforms.
The predicted salary is between 80000 - 100000 £ per year.
£700-£800 pd via Umbrella Fully Remote - occasional UK office visit. Leading Financial Services business is looking to bring in an experienced AI Engineer / ML Engineer with commercial experience in Generative AI and/or Agentic AI solutions.
Key Requirements
- Proven experience delivering GenAI or Agentic AI projects in a commercial environment
- Strong understanding of end-to-end model development and productionisation workflows
- Experience deploying and managing AI solutions in production environments
- Proficient in Python for data science, machine learning, and AI development
Technical Skills
- Microsoft Azure AI toolset, including: Azure AI Foundry, Azure AI Search
- Experience with MCP and Vertex/storage-related infrastructure
- Strong understanding of AI architecture, orchestration, and scalable deployment practices
Preferred Experience
- Building AI agents, RAG pipelines, or enterprise AI applications
- Working with cloud-based AI/ML platforms and data storage solutions
- Collaborating with engineering and product teams to deliver production-ready AI systems
This role would suit someone who combines strong technical delivery skills with practical experience taking AI solutions from concept through to production deployment.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
AI Engineer / ML Engineer in London employer: Sanderson Recruitment
Join a leading financial services business that champions innovation and inclusivity, offering a fully remote AI Engineer / ML Engineer role with competitive daily rates. Our collaborative work culture fosters professional growth, allowing you to leverage your expertise in Generative and Agentic AI while contributing to impactful projects. With a commitment to diversity and support for all employees, we ensure a rewarding environment where your skills can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer / ML Engineer in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace AI Engineer / ML Engineer in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI Engineer / ML Engineer at Sanderson Recruitment, 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 Sanderson Recruitment.
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 Sanderson Recruitment
✨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!
✨Help Them Understand Your Work Style
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.
✨Pitch Your Value Proposition
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!
