We are looking for an enthusiastic, early-career Trainee Machine Learning Engineer to join our team, working fully remotely from anywhere in the country. In this role you will be a key member of our Data Science function, contributing directly to our goals and working closely with talented colleagues across the business.
This is a hands-on role with real ownership and impact. You will apply your skills in Python, PyTorch and MLOps to solve interesting problems, ship work you can be proud of and help us raise the bar for what we do. You will collaborate with cross-functional teams, share your ideas openly and have the support you need to do your best work and grow along the way.
This role is open to fresh graduates and those early in their careers (0 to 1 years of experience). We are looking for someone with a strong foundation in Python and PyTorch, a hunger to learn, attention to detail and excellent communication and teamwork skills. Above all, we value curiosity, ownership and a positive attitude.
Within your first few months, you will get up to speed with our products, processes and people, build strong working relationships across the team, and begin taking ownership of your own work. Over time, you will have the opportunity to deepen your expertise, take on broader scope and grow your career with us as the company continues to scale.
In return, we offer a supportive, inclusive and collaborative environment, competitive pay, meaningful benefits and the chance to do work that genuinely matters. We care about our people, invest in their growth and want everyone here to be able to do the best work of their careers.
If this sounds like you, we would love to hear from you. Prism Analytics is an equal-opportunity employer: we welcome applicants of all backgrounds and are committed to building a diverse team and an inclusive workplace where everyone can thrive. Apply today and tell us why you would be a great fit.
Responsibilities
As a Trainee Machine Learning Engineer at Prism Analytics, you will play a central role within our Data Science function and take ownership of a broad and varied set of responsibilities. Working alongside a collaborative, motivated team, your day-to-day duties will include, but are not limited to, the following:- Collaborate with engineering teams to productionise models and integrate insights into customer-facing features.
- Evaluate new data tools, platforms and techniques, recommending improvements to our data infrastructure.
- Conduct exploratory analysis and experiments, and communicate findings clearly to technical and non-technical audiences.
- Develop, validate and deploy analytical and machine-learning models that turn raw data into actionable business value.
- Define and track the metrics that matter, and proactively surface trends, risks and opportunities to leadership.
- Design, build and maintain robust data pipelines that ingest, clean, transform and serve data reliably at scale.
- Document data sources, definitions and methodologies so insights are trusted and easy to reproduce.
- Build and maintain dashboards, reports and self-serve tools that make data accessible across the organisation.
- Maintain reproducible, version-controlled analysis and follow sound experimental and statistical practices.
- Mentor colleagues on data literacy and help embed a culture of evidence-based decision making.
- Ensure data quality, integrity and governance through validation, monitoring, documentation and clear data contracts.
- Partner with stakeholders to translate ambiguous business questions into well-defined, measurable analytical problems.
- Ensure your work meets agreed quality, compliance and security standards before it is considered complete.
- Contribute actively to a positive, inclusive, supportive and collaborative team culture.
- Take full ownership of your work, manage your own priorities and consistently deliver to a high standard and on time.
- Handle confidential and sensitive information with discretion, care and integrity at all times.
- Continuously develop your skills, seek feedback and stay current with the latest developments in your field.
- Bring energy, curiosity and a solutions-focused mindset to everyday challenges.
- Participate constructively in team meetings, stand-ups, planning sessions, demos and retrospectives.
- Represent the team and the company professionally in internal and external interactions.
- Adapt to changing priorities and remain calm, focused and effective in a fast-moving, evolving environment.
- Support and step in for teammates when needed to help the team meet its shared goals.
- Plan and manage your workload to balance quality, speed and competing demands.
- Support onboarding, knowledge-sharing and documentation so the wider team can learn, scale and succeed.
- Proactively flag dependencies and coordinate with other teams to keep work moving smoothly.
- Collaborate respectfully and effectively with colleagues across teams, functions, time zones and locations.
What we're looking for
0-1 years of experience; fresh graduates are encouraged to applyStrong working knowledge of Python, PyTorch and MLOps
Bachelor's degree in Computer Science
Excellent communication, problem-solving and teamwork skills
Benefits
At Prism Analytics, we believe that looking after our people is the foundation of doing great work. We offer a comprehensive, thoughtfully designed benefits and perks package that supports your health, your finances, your growth and your life outside of work. When you join us, you can expect the following:- A modern, well-equipped office in a convenient location, with snacks, great coffee and plenty of collaborative space.
- Wellness initiatives throughout the year, from health talks and screenings to fitness challenges and mindfulness sessions.
- Mental-health support including confidential counselling, an Employee Assistance Programme and a range of wellbeing resources.
- Flexible time-off arrangements and the trust to take the breaks you need, when you need them.
- A performance-linked annual bonus that meaningfully rewards both your individual contribution and the company's success.
- Opportunities to attend, speak at and learn from industry events and conferences.
- Access to telemedicine and online doctor consultations so you can get care quickly, wherever you are.
- a generous annual leave allowance well above the statutory minimum, plus public holidays, because rest and time to recharge are essential to doing great, sustainable work.
- Free snacks, beverages and regular catered meals to keep you fuelled through the day.
- Comprehensive medical, dental and vision insurance for you and your dependants, so you and your family are well looked after.
- Support for relocation where relevant, to help you make a smooth move and settle in quickly.
- Transparent communication, regular all-hands updates and direct, approachable access to leadership.
- Employee discounts and access to a curated range of partner perks, offers and benefits.
- Flexible working hours that let you do your best work while balancing your personal life and commitments.
- A supportive, inclusive and collaborative culture where your ideas are genuinely heard and your contribution truly matters.
- Wellness perks such as gym and fitness-membership support, plus wellbeing initiatives throughout the year.
- Full sponsorship for relevant professional certifications, memberships and qualifications.
- A dedicated annual learning and development budget you can spend on courses, books, certifications and conferences.
- Allowances and reimbursements for work-related expenses, handled quickly and without unnecessary bureaucracy.
- A competitive salary that is reviewed regularly and benchmarked against the market to keep your pay fair and current.
- The chance to do meaningful, high-impact work alongside talented, friendly, humble and ambitious colleagues.
- Thoughtful welcome kits, branded swag and little extras that make you feel part of the team.
- Protected time for learning, regular internal knowledge-sharing sessions and access to leading online learning platforms.
Education
Bachelor's degree in Computer Science