At a Glance
- Tasks: Lead and design innovative ML solutions that transform customer experiences.
- Company: Dynamic AI consultancy working with top global brands.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on innovation and leadership.
- Why this job: Shape the future of AI while working on exciting, impactful projects.
- Qualifications: Expertise in Python, ML deployment, and cloud platforms required.
The predicted salary is between 80000 - 100000 £ per year.
Senior & Lead Machine Learning Engineers | London | AI Consultancy Central London (Hybrid - up to 2 days in office)
Skills/ Tech:
- Machine Learning Lifecycle & MLOps
- Python & Software Engineering Best Practices
- Cloud Platforms (AWS, Azure, GCP)
- Architecture & Security
- Containers & Orchestration (Docker, Kubernetes)
- ML/Statistical Methods
- Deep Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)
- Technical Leadership
- Stakeholder Communication
- Project Ownership & Delivery
Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions that transform customer experience, strategy, and performance. From global enterprises to digital-first disruptors, they help businesses harness the power of advanced analytics, machine learning, and AI to stay competitive in a rapidly changing market. If you’re looking for an opportunity to shape the future of applied AI across exciting industry sectors, this is your chance.
ROLES:
- Senior ML Engineers (Up to £110K)
- Build & deploy production-grade ML systems, tools, and infrastructure at scale
- Design scalable, reusable solutions and lead technical architecture & delivery standards
- Partner with engineers, data scientists, and stakeholders to solve key problems and translate ML into real-world impact
- Lead Machine Learning Engineers (Up to £130K)
- Set technical direction, guide priorities, and make key architectural decisions on complex ML projects
- Design & deliver scalable ML systems, owning roadmaps and execution across ambiguous, high-risk workstreams
- Build and elevate teams — hiring, mentoring, and driving shared engineering standards
- Act as a trusted advisor to stakeholders, shaping strategy and adopting new technologies to stay ahead
What You’ll Bring:
- Go-to technical specialist with deep expertise and broad problem-solving ability
- Strong Python background with hands-on ML deployment (TensorFlow, PyTorch, Scikit-learn)
- Cloud expert (AWS/Azure/GCP) with experience building and leading full-stack solutions
- Skilled in containerisation and orchestration (Docker, Kubernetes)
- Proven leader — coaching teams, owning delivery, and partnering effectively with stakeholders
Lead ML Engineer - AI Solutions Architect, Hybrid London employer: Loop Recruitment
Join a dynamic and supportive team at a well-established financial services organisation in Manchester, where you'll have the opportunity to shape data governance practices from the ground up. With a focus on employee growth, you'll benefit from a collaborative work culture, competitive salary, and generous bonuses, all while being part of an exciting new office build-out. This role is perfect for those looking to develop their expertise in data governance within a thriving environment that values innovation and teamwork.
