At a Glance
- Tasks: Design and deploy cutting-edge AI solutions using Python and advanced technologies.
- Company: Join emagine, a forward-thinking consulting firm in the financial services sector.
- Benefits: Competitive daily rate, flexible working, and a commitment to diversity.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in a dynamic environment.
- Qualifications: 8+ years in AI development with strong Python skills and experience in multi-agent systems.
The predicted salary is between 60000 - 80000 £ per year.
- AI Engineer
- £600 per day, inside IR35, 2‑3 days on site in London on an initial 6‑month engagement.
emagine is a consulting and solutions firm specialising in the financial services sector.
We are committed to open, integrity‑driven relationships with our clients and to fostering a positive, equitable workplace for our consultants and colleagues.
Key Responsibilities
- Design, develop, and deploy scalable agentic AI solutions using Python, Lang Graph, and Lang Chain.
- Build and manage multi‑agent architectures, including orchestration, coordination, and workflow management.
- Implement advanced AI capabilities such as Retrieval‑Augmented Generation (RAG), memory management, planning and reasoning frameworks, human‑in‑the‑loop workflows, and tool/MCP integration.
- Develop and optimise prompts and agent behaviours through effective prompt engineering and evaluation.
- Establish guardrails, governance frameworks, and responsible AI practices.
- Implement observability, monitoring, testing, and performance evaluation for AI systems.
- Build and maintain CI/CD pipelines for AI application deployment and lifecycle management.
- Ensure security, scalability, and reliability of AI solutions in enterprise environments.
- Integrate AI agents with enterprise APIs, data platforms, business applications, and cloud services across Azure and AWS.
- Collaborate with architects, engineers, product teams, and stakeholders to deliver innovative AI‑driven solutions.
- Required Skills & Experience
- Minimum 8 years of hands‑on experience building AI solutions, with significant experience in agentic AI development.
- Strong proficiency in Python and extensive experience with Lang Graph and Lang Chain.
- Proven expertise in agent orchestration, multi‑agent systems, workflows, tool and MCP integration, Retrieval‑Augmented Generation, AI memory architectures, planning and reasoning frameworks, and human‑in‑the‑loop systems.
- Deep understanding of multi‑cloud environments, especially Microsoft Azure and Amazon Web Services (AWS).
- Experience implementing prompt engineering, evaluation frameworks, guardrails, and AI governance.
- Strong knowledge of observability, monitoring, testing, and quality assurance for AI systems.
- Experience with CI/CD, Dev Ops practices, and secure software deployment.
- Demonstrated ability to integrate AI solutions with enterprise platforms, APIs, and data ecosystems.
- Excellent communication and stakeholder management skills.
Desirable Experience
- Enterprise‑scale AI deployments and production‑grade agent frameworks.
- Knowledge of vector databases, knowledge graphs, and advanced retrieval techniques.
- Familiarity with MLOps and AI governance best practices.
- Experience working within highly regulated environments.
We are committed to building an international and diverse team. If you are up for the challenge, please contact our internal recruitment team.
Equal Opportunity Statement emagine is an equal opportunity employer, and employment practices are based strictly on merit.
The Company provides equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion, or ethnic origin.
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AI Engineer (h/f) in London employer: Emagine Consulting
At emagine, we pride ourselves on fostering a supportive and inclusive work culture that empowers our consultants to thrive. With a strong commitment to employee growth through ongoing training and development, as well as the flexibility of a hybrid working model, we provide an environment where you can take ownership of your projects and make impactful decisions. Join us in delivering innovative solutions at the intersection of data, AI, and customer engagement, while building lasting relationships in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (h/f) in London
✨Showcase Your Skills with a Public Portfolio
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We think you need these skills to ace AI Engineer (h/f) in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like AI Engineer (h/f) at Emagine Consulting, 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 Emagine Consulting.
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 Emagine Consulting
✨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!
