At a Glance
- Tasks: Lead AI-assisted development initiatives and enhance engineering processes with innovative ML solutions.
- Company: Join a forward-thinking tech group committed to long-term progress and innovation.
- Benefits: Flexible working hours, remote options, and opportunities for career growth in a supportive environment.
- Other info: Enjoy an informal culture that celebrates success and fosters collaboration among tech enthusiasts.
- Why this job: Make a real impact by driving AI adoption and transforming engineering practices across diverse teams.
- Qualifications: 5+ years in ML engineering with strong Python skills and experience in scalable production systems.
The predicted salary is between 70000 - 90000 £ per year.
To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.
This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.
Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may include evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.
- Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.
- Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization.
Requirements:
- Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience.
- Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact.
- Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows.
- Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation).
- Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models.
- Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering.
- Excellent communication skills to convey complex technical topics clearly to diverse stakeholders.
- Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations.
- High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers.
- Resilient, pragmatic approach with evidence-based iteration in emerging technology areas.
We offer development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character. Flexible working time, working time accounts and Home Office possible. An open, informal corporate culture, where we celebrate success with social events. Depending on the hiring location you may also benefit from local benefits.
Rosenxt is a forward-thinking technology group — we are visionary architects of progress with decades of engineering excellence. As a privately owned global partner with more than 650 employees, we look far beyond tomorrow: being committed long-term, we turn opportunities into successful ventures. Tech enthusiasts through and through, we dive deep into the latest technologies. Our expertise in various technology fields such as sensors, autonomous robotics, AI, and advanced materials combined with our strong R&D mindset, allows us to develop high-tech solutions for customers in the most challenging environments, including subsea, industrial, renewables, and the integrity of the water and energy supply. Our purpose goes beyond pure business: it is about creating progress and sustainable value – for our customers, for our partners and for society at large.
Senior Machine Learning Engineer (all genders welcome) in Bristol employer: Rosenxt Group
Contact Detail:
Rosenxt Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (all genders welcome) in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and MLOps. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Make sure you can clearly explain complex concepts in a way that anyone can understand. Remember, communication is key in a role that involves driving change across teams!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at StudySmarter.
We think you need these skills to ace Senior Machine Learning Engineer (all genders welcome) in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your expertise in LLMs, MLOps, and any relevant projects you've led. We want to see how you can drive change in our engineering teams!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Remember, we love clear communication, so keep it concise and engaging.
Showcase Your Projects: If you've worked on any impressive ML projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build scalable production systems. We’re keen to see your hands-on experience in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive – a quality we value highly!
How to prepare for a job interview at Rosenxt Group
✨Know Your Stuff
Make sure you brush up on your knowledge of LLMs, MLOps, and agentic AI. Be ready to discuss your past projects and how they relate to the role. This is a hands-on technical position, so demonstrating your expertise will be key to earning trust.
✨Communicate Clearly
Since this role involves working across distributed teams, practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas effectively to diverse stakeholders, as strong communication skills are essential for driving change.
✨Show Your Leadership Skills
Prepare examples of how you've led teams or projects in the past, especially in ML engineering. Highlight your ability to influence without formal authority and how you've enabled others to succeed. This will showcase your servant-leadership mindset.
✨Be Ready for Ambiguity
This role requires a resilient and pragmatic approach. Think of scenarios where you've navigated uncertainty and iterated based on evidence. Show that you're comfortable with ambiguity and can adapt to changing priorities while still delivering results.