At a Glance
- Tasks: Lead the engineering of machine learning solutions and build end-to-end ML pipelines.
- Company: Established UK organisation prioritising AI and data-driven outcomes.
- Benefits: Competitive salary, remote work, and potential for permanent role.
- Other info: Opportunity for career growth in a dynamic, innovative setting.
- Why this job: Shape the future of AI in a supportive environment with real impact.
- Qualifications: Experience in machine learning engineering and strong collaboration skills.
The predicted salary is between 90000 - 90000 € per year.
12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract. This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent.
The Company: They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability.
The Role:
- Lead the engineering and productionisation of machine learning and generative AI solutions.
- Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance.
- Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services.
- Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines.
- Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management.
- Provide hands on technical leadership, contributing to architecture decisions and best practice.
- Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations.
Your Skills:
(198488) Lead ML Engineer in Nottingham employer: Harnham
As a Lead Machine Learning Engineer at this large, well-established UK organisation, you will thrive in a dynamic work culture that prioritises innovation and employee development. With a strong commitment to investing in AI and a collaborative environment, you will have the opportunity to shape cutting-edge ML solutions while enjoying competitive remuneration and the potential for permanent placement. The company values its people, offering robust support for professional growth and a focus on long-term success in a highly regulated sector.
StudySmarter Expert Advice🤫
We think this is how you could land (198488) Lead ML Engineer in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. 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 machine learning projects, especially those that highlight your experience with end-to-end ML pipelines and MLOps practices. This will give you an edge and demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past experiences, particularly how you've turned POCs into scalable solutions. Practice explaining complex concepts in simple terms to show you can communicate effectively with stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your skills align with the role, and let us know why you're excited about the opportunity to lead ML delivery.
We think you need these skills to ace (198488) Lead ML Engineer in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead ML Engineer role. Highlight your experience in building and deploying ML solutions, as well as any leadership roles you've had in the past.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how you can contribute to our mission. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in MLOps, CI/CD, and data pipelines. We want to see how you’ve applied these skills in real-world scenarios, so include relevant projects or experiences.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves!
How to prepare for a job interview at Harnham
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and practices. Be ready to discuss your experience with building and deploying ML pipelines, as well as any hands-on projects you've led. This is your chance to showcase your technical expertise!
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've provided technical leadership in the past. Talk about how you've guided teams through challenges and made architectural decisions that benefited the project.
✨Understand the Business Context
Research the company and its focus on AI and data. Be ready to discuss how your work can align with their strategic priorities. Showing that you understand their goals will demonstrate your commitment and help you stand out.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with stakeholders. Being able to articulate trade-offs and recommendations clearly will be key!
