At a Glance
- Tasks: Design and develop cutting-edge AI solutions using Python and advanced technologies.
- Company: Join emagine, a leading consultancy in the financial services sector.
- Benefits: Competitive daily rate, flexible hybrid working, and ongoing training opportunities.
- Other info: Inclusive culture focused on collaboration, well-being, and career growth.
- Why this job: Shape the future of AI and drive business transformation with innovative solutions.
- Qualifications: 8+ years in AI development, strong Python skills, and experience with agentic AI.
The predicted salary is between 60000 - 80000 £ per year.
£600 per day inside IR35. 2–3 days on site in London. Initial 6 month engagement.
emagine is a high‑end professional services consultancy specialising in providing business and technology services to the financial services sector.
We power progress, solve challenges and deliver real results through tailored consulting services and solutions.
Key Responsibilities
- Design, develop, and deploy scalable agentic AI solutions using Python, Lang Graph, and Lang Chain.
- Build and manage multi‑agent architectures, including agent 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, tool integration, and Model Context Protocol (MCP) integration.
- Develop and optimise prompts, agent behaviours, and decision‑making processes through prompt engineering and evaluation methodologies.
- Establish robust 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 business 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.
- Extensive experience with Lang Graph and Lang Chain.
- Proven expertise in agent orchestration, multi‑agent systems and workflows, tool and MCP integration, Retrieval‑Augmented Generation (RAG), AI memory architectures, planning and reasoning frameworks, and human‑in‑the‑loop systems.
- Deep understanding of multi‑cloud environments, particularly 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
- Experience with 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.
What We're Looking For
We are seeking an innovative and technically strong AI Engineer who combines deep engineering expertise with a passion for emerging AI technologies.
You will play a key role in shaping and delivering next‑generation agentic AI solutions that enable intelligent automation and business transformation.
Benefits
- Providing our people with a supportive culture, rooted in our values and driven by our purpose.
- Promoting a culture of inclusion, collaboration, well‑being, and learning and development.
- Providing increased agility and flexibility within our hybrid working model.
- Investing in employees’ growth through ongoing training and development.
- Autonomy to take ownership of projects, make decisions and demonstrate individual expertise.
- Providing a transparent performance and career management experience.
\"emagine is an equal opportunity employer, and employment practices are based strictly on merit.
It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.\"
#J-18808-Ljbffr
AI Engineer in London employer: emagine
Emagine is an exceptional employer located in Greater London, offering a vibrant work culture that prioritises integrity and collaboration. As a Senior Automation Engineer, you will benefit from competitive pay and the chance to grow your skills within a leading consultancy in the financial services sector, where innovation and employee development are at the forefront of our mission.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like emagine before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like emagine.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like emagine.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at emagine, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to emagine, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab emagine’s attention and show the tangible impact of your work.
How to prepare for a job interview at emagine
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at emagine.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at emagine.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at emagine.
