At a Glance
- Tasks: Lead the design and deployment of advanced machine learning solutions in real-world energy environments.
- Company: Join James Fisher Energy, a global leader in engineering services with over 50 years of experience.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make a real impact on sustainable energy projects while working with cutting-edge technology.
- Qualifications: Expertise in Python, cloud platforms, and MLOps practices required.
- Other info: Mentorship opportunities and a commitment to diversity in the workplace.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join us at James Fisher Energy as a Principal Machine Learning Engineer. You will work within the Digital Innovation team, designing and deploying advanced machine learning solutions across realâworld environments such as offshore wind, subsea engineering and largeâscale energy infrastructure.
Role Accountabilities
- Lead the endâtoâend design, development and deployment of scalable, secure machine learning solutions in production.
- Define and implement MLOps best practices across the ML lifecycle, including CI/CD, monitoring, automated testing and model governance.
- Architect and optimise ML infrastructure and cloudânative environments to improve scalability, maintainability and cost efficiency.
- Research, prototype and productionise advanced ML models for timeâseries, streaming and sensor data, driving measurable performance improvements.
- Collaborate with crossâfunctional teams to align ML solutions with business objectives, regulatory requirements and ethical standards.
- Mentor and coach junior ML engineers and data scientists, fostering technical excellence and a culture of innovation.
- Establish rigorous documentation and monitoring standards to ensure reliability, transparency and compliance in deployed ML systems.
- Engage senior stakeholders, translating complex ML concepts into clear business value and influencing enterprise AI strategy.
Knowledge, Qualifications and Experience
- Expertise in Python and key data science libraries (NumPy, Pandas, ScikitâLearn, PyTorch, TensorFlow) with strong ML/AI knowledge, including deep learning, timeâseries modelling and LLMs (fineâtuning, RAG).
- Handsâon experience with cloud platforms (AWS, Azure, GCP) and infrastructure tools (Terraform, Kubernetes, Docker) plus software development best practices (testing, version control, CI/CD).
- Proven ability to implement MLOps practices and manage the ML lifecycle, including reproducibility, monitoring, automated pipelines and model governance.
- Strong background in distributed computing and realâtime data streaming (Kafka, Spark, Ray) and experience with timeâseries/sensor data optimisation.
- Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into business outcomes and influence senior leaders.
- Demonstrated leadership in mentoring teams, problemâsolving and delivering measurable business impact in regulated environments.
About Us
James Fisher is a global engineering services company with over 50 years of experience delivering complex offshore energy projects in some of the world's most challenging environments. We operate across Energy, Defence and Maritime Transport, leveraging cuttingâedge technology and deep expertise to support the full lifecycle of our customers' assets.
In the Energy Division we provide safe, efficient solutions across oil & gas and renewables â from well support and fullâfield decommissioning to integrated services for offshore wind and expert subsea inspection, repair and maintenance. Our work helps operators extend asset life, reduce downtime and respond rapidly to operational challenges, driving the global shift toward a cleaner, more sustainable future.
Our One James Fisher strategy unites our capabilities under a single vision, building a stronger, more cohesive business within the Blue Economy.
Equal Opportunity Employer
James Fisher and Sons are committed to taking positive action on diversity and strongly encourage applications from candidates of all backgrounds. We are proud to be a Disability Confident employer and recognise that our success depends on our talented and diverse workforce.
Location: Westhill, Scotland, United Kingdom.
Principal Machine Learning Engineer in Westhill employer: James Fisher Energy
Contact Detail:
James Fisher Energy Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Principal Machine Learning Engineer in Westhill
â¨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Principal Machine Learning Engineer role.
â¨Show Off Your Skills
Donât just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and how you can add value to their team.
â¨Ace the Interview
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Remember, confidence is key!
â¨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who are genuinely interested in joining our team at James Fisher Energy!
We think you need these skills to ace Principal Machine Learning Engineer in Westhill
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Principal Machine Learning Engineer role. Highlight your experience with Python, MLOps, and cloud platforms like AWS or Azure. We want to see how your skills align with our needs!
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 Digital Innovation team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's time-series modelling or deploying models in production, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you donât miss out on any important updates from us!
How to prepare for a job interview at James Fisher Energy
â¨Know Your Tech Inside Out
Make sure youâre well-versed in Python and the key data science libraries mentioned in the job description. Brush up on your knowledge of deep learning, time-series modelling, and MLOps practices. Being able to discuss these topics confidently will show that youâre not just familiar with them, but that you can lead projects effectively.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex machine learning challenges. Think about how youâve optimised ML infrastructure or improved model performance in past roles. This will demonstrate your ability to deliver measurable business impact, which is crucial for this position.
â¨Engage with Stakeholders
Practice translating technical concepts into business value. You might be asked how you would communicate complex ideas to senior stakeholders, so think of ways to simplify your explanations. This skill is vital for influencing enterprise AI strategy and aligning ML solutions with business objectives.
â¨Be Ready to Mentor
Since mentoring junior engineers is part of the role, prepare to discuss your leadership style and experiences. Share examples of how youâve fostered a culture of innovation and technical excellence in previous teams. This will highlight your capability to guide others while driving project success.