Lead Machine Learning Engineer, Associate Director (Manchester)

Lead Machine Learning Engineer, Associate Director (Manchester)

Manchester Full-Time 80000 - 100000 € / year (est.) No home office possible
myGwork - LGBTQ+ Business Community

At a Glance

  • Tasks: Lead the development of innovative AI and machine learning solutions to drive business success.
  • Company: Join Fitch Group, a diverse and inclusive employer making waves in the tech industry.
  • Benefits: Enjoy a great work-life balance, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and continuous learning.
  • Why this job: Make a real impact in a high-visibility role within cutting-edge technology.
  • Qualifications: 5+ years in ML/AI engineering with strong Python skills and a passion for data.

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.

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.
  • Designs and develops 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 LLM’s.
  • 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 & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.
  • Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based field.

What Would Make You Stand Out:

  • Passionate about the power of data and predictive analytics to drive better business outcomes for customers
  • Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment
  • Familiarity with credit ratings agencies, regulations, and data products around the world
  • Outstanding written and verbal communication skills
  • A champion of good code quality and architectural practices.
  • Strong interpersonal skills and ability to work proactively and as a team player.

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. Fitch Group is proud to be an Equal Opportunity employer.

Lead Machine Learning Engineer, Associate Director (Manchester) employer: myGwork - LGBTQ+ Business Community

Fitch Group is an exceptional employer that champions inclusivity and diversity, making it a fantastic place for professionals in the cutting-edge field of machine learning. With a strong emphasis on work-life balance, employee growth opportunities, and a collaborative culture, Fitch empowers its team members to innovate and make a significant impact on flagship products. Located in Manchester, employees benefit from a vibrant city atmosphere while contributing to a global network that values every voice and perspective.

myGwork - LGBTQ+ Business Community

Contact Detail:

myGwork - LGBTQ+ Business Community Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Machine Learning Engineer, Associate Director (Manchester)

Tip Number 1

Network like a pro! Get out there and connect with folks in the machine learning and AI space. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to Gen AI and ML. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, just like you would to a business stakeholder. This will help you shine during those crucial interview moments.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s make some magic happen!

We think you need these skills to ace Lead Machine Learning Engineer, Associate Director (Manchester)

Machine Learning Engineering
Gen AI Implementation
Deep Learning
Natural Language Processing (NLP)
Python Programming
Multi-Agent Architectures
MLOps

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 Gen AI, ML frameworks, and any relevant projects that showcase your skills in Python and deep learning.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about machine learning and how your background aligns with Fitch's goals. Don't forget to mention your understanding of AI governance and your ability to communicate complex concepts simply.

Showcase Your Projects:Include links to any projects or GitHub repositories that demonstrate your expertise in building scalable AI solutions. We love seeing practical applications of your skills, especially if they relate to the job description!

Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity at Fitch!

How to prepare for a job interview at myGwork - LGBTQ+ Business Community

Know Your Tech Stack

Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python, AWS, and Azure. Brush up on your knowledge of Gen AI frameworks and multi-agent architectures, as these will likely come up during the interview.

Showcase Your Problem-Solving Skills

Prepare to discuss past projects where you’ve successfully implemented machine learning solutions. Be ready to explain how you approached challenges, the tools you used, and the impact your work had on the business. This will demonstrate your ability to apply your skills in real-world scenarios.

Communicate Clearly

Since the role involves explaining complex concepts to non-technical stakeholders, practice simplifying advanced data science and ML topics. Use relatable examples to show that you can bridge the gap between technical and business language effectively.

Emphasise Team Collaboration

Fitch values teamwork, so be prepared to share experiences where you collaborated with others, especially in a distributed environment. Highlight your interpersonal skills and how you’ve contributed to a positive team dynamic in previous roles.