We are looking for an experienced 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.
You will bring around 4 to 7 years of relevant experience and strong, practical knowledge of Python, PyTorch and MLOps. Just as important are clear communication, sound judgement, attention to detail and the ability to collaborate effectively with people across different teams and backgrounds.
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. Apex Ventures 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 Machine Learning Engineer at Apex Ventures, 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:- Document data sources, definitions and methodologies so insights are trusted and easy to reproduce.
- Maintain reproducible, version-controlled analysis and follow sound experimental and statistical practices.
- Collaborate with engineering teams to productionise models and integrate insights into customer-facing features.
- Partner with stakeholders to translate ambiguous business questions into well-defined, measurable analytical problems.
- 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.
- Design, build and maintain robust data pipelines that ingest, clean, transform and serve data reliably at scale.
- Ensure data quality, integrity and governance through validation, monitoring, documentation and clear data contracts.
- Develop, validate and deploy analytical and machine-learning models that turn raw data into actionable business value.
- Mentor colleagues on data literacy and help embed a culture of evidence-based decision making.
- Define and track the metrics that matter, and proactively surface trends, risks and opportunities to leadership.
- Build and maintain dashboards, reports and self-serve tools that make data accessible across the organisation.
- Maintain accurate, thorough documentation and keep all relevant systems, tools and trackers up to date.
- Proactively flag dependencies and coordinate with other teams to keep work moving smoothly.
- Adapt to changing priorities and remain calm, focused and effective in a fast-moving, evolving environment.
- Communicate progress, risks and blockers clearly and proactively to your manager and relevant stakeholders.
- Bring energy, curiosity and a solutions-focused mindset to everyday challenges.
- Take full ownership of your work, manage your own priorities and consistently deliver to a high standard and on time.
- Identify opportunities for improvement and bring forward practical ideas to make our products, processes and ways of working better.
- Contribute to a culture of accountability, learning from mistakes and celebrating shared wins.
- Participate constructively in team meetings, stand-ups, planning sessions, demos and retrospectives.
- Build strong, trust-based relationships with internal and external stakeholders.
- Support onboarding, knowledge-sharing and documentation so the wider team can learn, scale and succeed.
- Contribute actively to a positive, inclusive, supportive and collaborative team culture.
- Ensure your work meets agreed quality, compliance and security standards before it is considered complete.
- Collaborate respectfully and effectively with colleagues across teams, functions, time zones and locations.
What we're looking for
4-7 years of professional experience in a Machine Learning Engineer or similar roleStrong working knowledge of Python, PyTorch and MLOps
Bachelor's degree in Computer Science
Excellent communication, problem-solving and teamwork skills
Benefits
At Apex Ventures, 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:- Mental-health support including confidential counselling, an Employee Assistance Programme and a range of wellbeing resources.
- Flexible working hours that let you do your best work while balancing your personal life and commitments.
- Wellness initiatives throughout the year, from health talks and screenings to fitness challenges and mindfulness sessions.
- A competitive salary that is reviewed regularly and benchmarked against the market to keep your pay fair and current.
- Personal accident and term life insurance providing financial protection and peace of mind for you and your loved ones.
- Allowances and reimbursements for work-related expenses, handled quickly and without unnecessary bureaucracy.
- Hybrid and remote-friendly working options, with the trust and autonomy to manage your own time and output.
- A home-office set-up allowance plus the laptop, equipment and tools you need to work comfortably and productively.
- Recognition of personal milestones with celebration leave and thoughtful gestures.
- Structured mentorship, regular feedback and clear, transparent career-progression frameworks to help you grow.
- A modern, well-equipped office in a convenient location, with snacks, great coffee and plenty of collaborative space.
- A dedicated annual learning and development budget you can spend on courses, books, certifications and conferences.
- Full sponsorship for relevant professional certifications, memberships and qualifications.
- Generous, fully paid parental leave for all new parents, supporting you through one of life's biggest moments.
- Employee stock options (ESOPs), giving you a genuine stake in the company's growth and long-term success.
- Wellness perks such as gym and fitness-membership support, plus wellbeing initiatives throughout the year.
- Protected time for learning, regular internal knowledge-sharing sessions and access to leading online learning platforms.
- Free snacks, beverages and regular catered meals to keep you fuelled through the day.
- Transparent, structured pay bands and clear criteria for progression, so you always know how to grow your earnings.
- A supportive, inclusive and collaborative culture where your ideas are genuinely heard and your contribution truly matters.
- Transparent communication, regular all-hands updates and direct, approachable access to leadership.
- A flat, low-ego environment where good ideas can come from anyone and are acted upon.
- Commuter, transport and travel support to make getting to and from work easier and more affordable.
- Flexible time-off arrangements and the trust to take the breaks you need, when you need them.
Education
Bachelor's degree in Computer Science