At a Glance
- Tasks: Design and build AI platforms and ML pipelines with cutting-edge technologies.
- Company: Join Alter Domus, a dynamic and innovative tech company.
- Benefits: Flexible work arrangements, generous holidays, and continuous professional development.
- Other info: Inclusive culture with diverse perspectives and excellent career growth opportunities.
- Why this job: Make a real impact by developing adaptive AI solutions and collaborating with experts.
- Qualifications: Experience in Python, AI workflows, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Join our dynamic and innovative team at Alter Domus as an AI & ML Engineer, where you will play a pivotal role in designing, building, and maintaining our AI platform and ML pipelines. Working closely with data analysts, data scientists, and various business stakeholders, you’ll ensure data is reliable, efficient, and accessible in a scalable manner.
What You’ll Do
- Build & Prototype: Assemble off-the-shelf LLMs (Azure OpenAI, AWS Bedrock, Anthropic Claude, Meta LLaMA APIs) into Alter Domus’ products and agentify our workflows. Rapidly prototype in low-code/visual studios (Firebase Studio, v0, Lovable, etc) and with agentic frameworks (LangChain, AutoGen, MCP/A2A).
- Automate & Integrate: Connect your assistants to real systems via MCP, APIs, webhooks and microservices.
- Code with AI Helpers: Leverage GitHub Copilot, Cursor, Windsurf, Cline and Q Developer to accelerate script, API and workflow development. Write unit/integration tests and help maintain our CI/CD pipelines.
- Live Projects You’ll Continue to Develop:
- domusAI: An adaptive AI assistant platform for AD employees that learns user preferences through a dynamic memory management system. It provides personalized support via agentic LLM chats and integrated tool capabilities.
- domiAI: Our flagship virtual assistant powered by an integrated data and AI platform that transforms client-specific information into vectorized knowledge bases and structured data repositories, enabling real-time generation of meaningful insights, comprehensive reports, search, analytics, and predictions through an intuitive conversational interface.
- domusDocs: A document extraction engine to extract intelligence and process business documents leveraging advanced GenAI techniques.
- Multi-Agentic Framework: The architecture that lets specialized AI agents coordinate on complex workflows, build MCPs—your chance to see multi-agent collaboration in action.
- Learn & Collaborate: Work with an agile team of data scientists, engineers, and AI specialists to master cutting-edge techniques in data analysis, prompt engineering, and AI implementation. Rapidly prototype solutions, iterate based on client feedback, and deploy customized solutions that address specific business challenges while continuously expanding your technical capabilities and domain expertise.
- Support & Iterate: Help define test plans, troubleshoot issues and tune prompts for accuracy and performance. Gather feedback from business stakeholders and iterate quickly on your prototypes.
Who You Are
- Tech Enthusiast: You’ve built at least three AI end-to-end projects deployed in production.
- Curious Learner: You’re eager to continue exploring new LLM services, low-code studios and agentic frameworks.
- Collaborative Communicator: You explain technical ideas clearly in English and enjoy working closely with SMEs and teammates.
- Adaptive: You are quickly able to adapt to the development and deployment Golden Path internal to Alter Domus.
- Self-Starter: You solve problems proactively using online resources, community forums—or even autonomous agents of your own creation.
Technical Requirements
- 3+ years of total experience with relevant experience of 1+ year in Python and related data science libraries (NumPy, Pandas, PyTorch, TensorFlow).
- Experience creating agentic AI workflows using Lang graph, Autogen, CrewAI or other agent libraries.
- Experience with vector databases (Pinecone, Qdrant, or similar).
- Proficiency with REST APIs and microservice architecture.
- Familiarity with AWS cloud platform.
- Experience with containerization (Docker) and orchestration tools (Kubernetes).
- Strong understanding of NLP concepts and LLM implementation.
- Experience with prompt engineering and fine-tuning language models.
What We Offer
- We are committed to supporting your development, advancing your career, and providing benefits that matter to you.
- Our industry-leading Alter Domus Academy offers six learning zones for every stage of your career, with resources tailored to your ambitions and resources from LinkedIn Learning.
- Support for professional accreditations such as ACCA and study leave.
- Flexible arrangements, generous holidays, plus an additional day off for your birthday!
- Continuous mentoring along your career progression.
- Active sports, events and social committees across our offices.
- 24/7 support available from our Employee Assistance Program.
- The opportunity to invest in our growth and success through our Employee Share Plan.
- Plus additional local benefits depending on your location.
Equity In Every Sense Of The Word
We are in the business of equity, in every sense of the word. For us, this means taking action to ensure every colleague has equal opportunity, valuing every voice and experience across our organisation, maintaining an inclusive culture where you can bring your whole self to work, and making Alter Domus a workplace where everyone feels they belong. We celebrate our differences, and understand that our success relies on diverse perspectives and experiences, working towards shared goals and a common purpose. We are committed to ensuring a welcoming recruiting and onboarding process for everyone. Please contact our hiring team if you require any accommodations to make our recruitment process more accessible for you.
AI/ML Engineer in London employer: Alter Domus
At Alter Domus, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As an AI/ML Engineer, you will benefit from our commitment to professional development through the Alter Domus Academy, flexible working arrangements, and a supportive environment that values diversity and inclusion. With opportunities for continuous learning and career progression, along with generous benefits including additional leave for your birthday, you'll find a rewarding and meaningful career path with us in a dynamic and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so get comfortable with explaining your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Alter Domus. Let’s make it happen!
We think you need these skills to ace AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI/ML Engineer role. Highlight your projects, especially those involving LLMs and agentic frameworks, to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and ML. Share specific examples of your work and how they relate to our projects at Alter Domus. This is your chance to stand out!
Showcase Your Projects:Don’t just list your projects—describe them! Explain your role, the technologies you used, and the impact they had. We want to see your hands-on experience with AI workflows and data science libraries.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Alter Domus
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical requirements listed in the job description. Brush up on Python, data science libraries, and any specific tools like LangChain or AWS. Being able to discuss your past projects and how they relate to the role will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in your previous AI/ML projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your proactive approach and ability to adapt to new situations.
✨Communicate Clearly and Collaboratively
Since the role involves working closely with various stakeholders, practice explaining complex technical concepts in simple terms. Think about examples where you’ve successfully collaborated with others and be ready to share those experiences.
✨Be Ready to Prototype on the Spot
Given the emphasis on rapid prototyping, be prepared for practical assessments or coding challenges during the interview. Familiarise yourself with low-code platforms and be ready to discuss how you would approach building a solution using the tools mentioned in the job description.
