Lead Machine Learning Engineer directing innovative AI projects for clients in various sectors. Collaborate to develop AI solutions that enhance efficiency and customer experience.
Responsibilities
Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.
Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
Defining project problems, developing roadmaps, and overseeing delivery across multiple work-streams in often ill-defined, high-risk environments.
Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.
Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.
Proactively developing and executing recommendations for adopting new technologies and changing our ways of working to stay ahead of the competition.
Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.
Requirements
You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem.
You possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications.
You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes.
You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery.
You find novel, clever solutions for project delivery and take ownership for successful project outcomes.
You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders.
Benefits
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working (2 days in our Old Street office, London)
Machine Learning Engineer delivering real - world impact through efficient, adaptive ML systems in production. Collaborating with strategic partners and directly impacting AI research and product vision.
Machine Learning Engineer designing, building, and operationalizing AI/ML solutions for mission - critical applications. Collaborating with data engineering teams to support production - grade ML systems in a hybrid work environment.
Senior Data Platform Engineer optimizing AI/ML infrastructure on AWS at Trajector. Building scalable solutions for data governance, observability, and CI/CD.
Associate Director leading machine learning engineering solutions for AI - powered supply chain at S&P Global Mobility. Collaborating with teams to deliver technical solutions and data processing workflows.
Machine Learning Operations Engineer involved in building non - human pilot for aerospace startup. Focus on DevOps and MLOps to enhance infrastructure for innovative machine learning projects.
AI/ML Engineer developing AI solutions leveraging Large Language Models at Deutsche Börse Group. Collaborating with expert developers to enhance internal processes.
Senior Machine Learning Engineer driving innovations in AI and machine learning for Disney's Ad Platforms. Collaborating with cross - functional teams and mentoring junior engineers.
Intern developing machine learning tools within ADEO Services' AI Factory team. Collaborating on software quality and automation alongside a senior ML engineer.
ML Ops Engineer at Early Warning Services supporting predictive models through scalable infrastructure and tools. Collaborating with teams to enhance model productionalization and monitoring efficiency.