At a Glance
- Tasks: Develop and optimise physics-based AI models for real-world applications.
- Company: Venture-backed UK tech firm focused on AI in regulated environments.
- Benefits: Competitive day rate, remote work, and opportunities for professional growth.
- Other info: Flexible role with potential for career advancement in a dynamic environment.
- Why this job: Join a pioneering team and make impactful decisions with cutting-edge AI technology.
- Qualifications: Strong experience in physics-based modelling and proficiency in Python.
- Senior Applied AI Scientist
- Contract |Remote (UK) | Competitive day rate | SC clearance |
Morela is proud to be supporting a venture-backed UK technology business building AI systems for highly regulated and security-sensitive environments.
They are standing up a brand new modelling and optimisation capability, and this is one of the first senior hires into it.
The work is physics-based performance modelling, and the optimisation that turns those models into actual decisions.
Concept through to robust, tested production code running against real data on a cloud platform.
It is hands-on and delivery-focused, and suits applied ML engineers who build and ship models just as well as people from a research background.
The role is deliberately shaped to flex: depending on your strengths you might focus on building and shipping the models, or take on more of the modelling and optimisation approach itself, inside a delivery-driven, highly autonomous, full-stack engineering team.
THE PROBLEM
Physics-based prediction.
Models that predict how a system performs under varying environmental conditions, fed by meteorological forecast data, calibrated and validated against real data rather than left as a notebook.
Optimisation that bites.
Optimising configuration and resource allocation against modelled performance, including optimisation under uncertainty. This is where the modelling becomes a decision.
Defensible outputs.
Results have to be correct, explainable and defensible under independent validation, benchmarked against reference cases. Nothing here can be a black box.
WHAT YOU WILL DO
- Implement, calibrate and validate physics-based performance models, and build the pipelines around them covering data preparation, calibration, evaluation and deployment.
- Implement optimisation methods, including optimisation under uncertainty, against modelled performance, and integrate meteorological forecast data into the models.
- Evaluate and benchmark outputs against reference cases so results stand up to independent validation, and write secure, high-performance production Python that meets regulated-environment standards.
- Build the decision-support outputs that surface results to operators, working closely with data, platform and product teams, and contribute to the technical development of the wider team.
- WHAT YOU WILL NEED
- Strong experience implementing mathematical, physics-based or simulation models in production systems, not only in research code.
- Fluent scientific Python, Num Py, Sci Py and similar, with solid software engineering fundamentals.
- Experience with simulation, numerical methods or optimisation techniques, including optimisation under uncertainty.
- A strong academic background in a quantitative field such as physics, applied mathematics or statistics, and the mathematical instinct to pick up an unfamiliar technical domain quickly.
- A track record of taking modelling work from prototype through to tested, production-quality code.
- SC clearance. Active clearance is strongly preferred for this contract given programme timelines; for the right person, genuine eligibility will be considered.
- WHAT WOULD HELP
- Signal processing, time-series or sensor-data modelling, advanced simulation techniques, and defence modelling and simulation or operational analysis experience.
- Machine learning applied alongside physics-based modelling, such as surrogate models or calibration from operational data, and containerised deployment with Docker and Kubernetes.
- Publications or a research background, decision-support or operational planning systems, and mentoring experience or the appetite to grow into it.
- CONTRACT TERMS AND CLEARANCE
- Competitive day rate £500/£550per day, negotiable depending on experience and clearance status. Active SC sits at the top of the range.
- Remote across the UK, with occasional travel to client sites. Duration and IR35 status confirmed on application.
Read this carefully.
SC eligibility requires a provable five-year UK address history.
If you have lived outside the UK within that window, this will be difficult on this programme's timeline.
A DBS check or BPSS clearance is not the same as SC.
For a confidential conversation and the client name, email
Senior Applied AI Engineer - Contract in Stevenage employer: Morela Solutions
Morela's client is an exceptional employer, offering a dynamic and collaborative work environment in the heart of the City of London. With a strong focus on employee growth, they provide comprehensive benefits including private medical insurance, generous holiday allowances, and opportunities for professional development, all while fostering a culture that values curiosity and ownership. This scale-up not only empowers its engineers to make a tangible impact through client-facing roles but also ensures a supportive atmosphere with regular team socials and a commitment to work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied AI Engineer - Contract in Stevenage
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Morela Solutions who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Morela Solutions!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Morela Solutions to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Senior Applied AI Engineer - Contract in Stevenage
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Morela Solutions!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Senior Applied AI Engineer - Contract at Morela Solutions! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Morela Solutions
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Morela Solutions uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Morela Solutions that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Morela Solutions, so it's relevant and sparks conversation during your interview.
