At a Glance
- Tasks: Lead the development of cutting-edge AI and machine learning solutions to drive innovation.
- Company: Join Fitch Group, a diverse and inclusive employer at the forefront of technology.
- Benefits: Enjoy a great work-life balance, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with significant visibility and career advancement opportunities.
- Why this job: Make a real impact in the exciting field of Generative AI and machine learning.
- Qualifications: 5+ years as an ML/AI engineer with strong Python skills and deep learning expertise.
The predicted salary is between 80000 - 100000 £ per year.
This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. The Fitch Group Emerging Technology AI Center of Excellence (COE) group is seeking a principal machine learning or AI engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning, Deep Learning, and Data Science solutions across the organisation. The position will be based out of our London or Manchester office.
Specific Emerging Technology team objectives are:
- Gen AI/ML technology implementation with business and product owners
- Emerging Tech Governance function covering policies, guidelines, and processes to govern AI/ML enabled components as well as third-party AI governance
- Lead and support other enterprise-level AI exploration tools and capabilities
- Provide guidance and support for safe development and deployment of AI
What We Offer:
- This will be a high impact role with significant visibility where the candidate will work on some flagship Fitch products.
- The candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data science.
- Fitch promotes an excellent work culture and is known for providing a good work-life balance.
We’ll Count on You To:
- Work closely as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents, and data science solutions.
- Ensure sharing best practices and learnings with other squad members.
- Design and spearhead the development of Gen AI, AI Agents, and MLOps platforms, applications, and solutions driven by GenAI, deep learning, and machine learning to address business challenges and elevate product performance.
- Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases.
- Work closely with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards.
- Keep abreast of the latest vendors across different areas of emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases.
- Where appropriate, onboard the right solutions into the platform.
- Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders, always focusing on its applicability to Fitch business.
- Develop and deploy machine learning and Gen AI solutions to meet enterprise goals and support experimentation and innovation.
- Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
- Design and develop scalable solutions and GenAI and ML workflows that leverage machine learning, Gen AI, and deep learning models to meet enterprise requirements.
- Actively participate in maintaining SLAs for Production applications and support.
- Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions.
- Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.
- Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems.
What You Need to Have:
- Work experience as a ML or AI engineer (5+ years).
- Prior experience developing production quality Python is essential.
- Deep understanding of Agentic AI systems and multi-agent architectures.
- Proficiency in machine learning and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines.
- Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization).
- Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLMs.
- Experience building/enhancing search and information retrieval systems.
- Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc.
- Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure.
Lead Machine Learning Engineer (Manchester) employer: Fitch Group
Fitch Group is an exceptional employer that champions inclusivity and innovation, particularly within its Emerging Technology AI Center of Excellence in Manchester. Employees benefit from a supportive work culture that prioritises work-life balance, alongside opportunities for professional growth in cutting-edge fields like machine learning and data science. With a focus on collaboration and the development of impactful AI solutions, Fitch Group offers a dynamic environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer (Manchester)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Fitch Group or similar companies. Use LinkedIn to connect and engage with them; you never know who might give you a heads-up about job openings or even refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially any that involve Generative AI or deep learning. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML fundamentals. Practice coding challenges and be ready to explain your thought process clearly. Remember, they want to see how you approach problems, not just the final answer!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in the role and the company. Don’t forget to tailor your application to highlight your experience with AI governance and multi-agent architectures!
We think you need these skills to ace Lead Machine Learning Engineer (Manchester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Machine Learning Engineer role. Highlight your experience with AI, ML, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team at Fitch Group. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any cool projects related to generative AI or machine learning, make sure to mention them! We want to see your hands-on experience and how you've tackled real-world challenges in your previous roles.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Fitch Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning and AI technologies, especially those mentioned in the job description. Brush up on your knowledge of Generative AI, deep learning algorithms, and cloud services like AWS and Azure. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using machine learning solutions. Think about challenges you've faced in previous roles and how you approached them. This will demonstrate your ability to think critically and innovate, which is crucial for a role that involves building and deploying AI solutions.
✨Communicate Clearly and Effectively
Since you'll need to explain advanced concepts to business stakeholders, practice simplifying complex ideas into layman's terms. During the interview, focus on how you can bridge the gap between technical and non-technical audiences. This skill is essential for ensuring that your solutions align with business goals.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends and vendors in the AI and machine learning space. Be prepared to discuss recent advancements or tools that could benefit Fitch Group. Showing that you’re proactive about staying informed will highlight your passion for the field and your commitment to continuous learning.
