At a Glance
- Tasks: Develop and deploy cutting-edge machine learning models to solve real-world problems.
- Company: Well-funded tech company focused on next-gen AI products.
- Benefits: Competitive salary, bonus, and comprehensive benefits package.
- Other info: Exciting opportunity for growth in a collaborative and innovative environment.
- Why this job: Join a dynamic team shaping the future of intelligent decision-making systems.
- Qualifications: Experience in building ML models and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
About the Company
I'm partnering with a well-funded technology company building next-generation AI products and looking for an experienced ML / Data Engineer to help shape the future of intelligent decision-making systems.
About the Role
This is an opportunity to work at the intersection of
- Machine Learning
- Computer Vision
- Generative AI
- Large Language Models
- Production AI Engineering
The Role You'll be responsible for developing, evaluating and deploying machine learning models that solve complex real-world problems at scale.
Working alongside a highly technical team of engineers and researchers, you'll help design intelligent systems that combine multiple AI approaches, balancing performance, reliability and operational efficiency.
Responsibilities
Key responsibilities include
- Developing and improving machine learning and deep learning models
- Building evaluation frameworks to measure model performance
- Fine-tuning and deploying open-source AI models
- Developing production-grade AI solutions using frontier-model APIs
- Designing data-driven feedback loops to continuously improve system performance
- Collaborating with software engineers to deploy scalable ML systems
Qualifications
- Commercial experience building and deploying ML models
- Required Skills
What We're Looking For
- Commercial experience building and deploying ML models
- Strong Python skills (Py Torch, Num Py, Pandas, Open CV, SQL)
- Experience working with LLMs, Gen AI, or multimodal AI systems
- Production experience integrating external AI APIs
- Understanding of model evaluation, experimentation and optimisation
- Experience with Docker, CI/CD and software engineering best practices
- Preferred Skills
- Nice to Have
- Computer Vision experience
- Experience fine-tuning foundation models
- MLOps or platform engineering exposure
- Experience working with large-scale datasets
- Pay range and compensation package
- Competitive salary, bonus and benefits package
- Equal Opportunity Statement
- Interested in learning more? Get in touch -
ML / Data Engineer in Portsmouth employer: Opus Recruitment Solutions
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a ServiceNow Mapping Product Lead will directly impact large-scale digital transformation initiatives. With a focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside industry leaders in a hybrid environment that promotes work-life balance. Our commitment to excellence and support for your career aspirations make us an exceptional employer in the tech landscape.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML / Data Engineer in Portsmouth
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Opus Recruitment Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Opus Recruitment Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Opus Recruitment Solutions.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Opus Recruitment Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace ML / Data Engineer in Portsmouth
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Opus Recruitment Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Opus Recruitment Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Opus Recruitment Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Opus Recruitment Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
