1 to 25 of 183 Mentoring Jobs in the City of London

a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles Take our theoretical course content and tailor it for each individual learner that you are supporting through regular teaching sessions and More ❯

is of the highest quality. Lead the development team in implementing methodologies that enhance project quality and speed. Troubleshoot and debug to optimize performance. Provide code reviews, feedback, and mentorship to junior developers. Stay up-to-date with new technology trends, applications, and protocols Full Stack Mobile Developer - Experience Required Proven track record of developing and maintaining high-quality mobile More ❯

cloud providers? Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Looking for someone with hands-on development Conducting code reviews, mentoring through pair programming. Looking for data engineering and software development Building APIs, integrating with microservices, or contributing to backend systems — not just data pipelines or data modelling. CI/CD More ❯

is of the highest quality. Lead the development team in implementing methodologies that enhance project quality and speed. Troubleshoot and debug to optimize performance. Provide code reviews, feedback, and mentorship to junior developers. Stay up-to-date with new technology trends, applications, and protocols Full Stack Mobile Engineer -Experience Required Proven track record of developing and maintaining high-quality mobile More ❯

CI/CD pipelines, and architecture discussions. Strong grasp of Agile development, DevOps practices, and modern engineering workflows. Experience collaborating with Product and Compliance teams. Excellent communication, leadership, and mentoring skills. Desirable Experience Familiarity with regulatory or financial technology (RegTech, FinTech). Background in AWS-based environments or microservices architecture. Experience working in high-growth or scale-up environments. Whats More ❯

ensuring the Environments team cover the necessary out-of-hours activities involved in support for multiple client-critical systems for a global client base. You'll provide coaching and mentoring to a small team, passing on knowledge and developing the teams capabilities. Location/WFH: You can work from home most of the time, meeting up with colleagues in the More ❯

identification of cyber opportunities & scope the delivery phase of engagements. People development: Act as an example and go-to for more junior members of the team, by sharing knowledge, mentoring, and coaching team members and leading by example. Possibly provide line management, and career development directly as part of our career development manager framework. Maintain expertise: Stay current with the More ❯

verticals. Requirements: 5+ years of experience in a technical and client-facing role (e.g., Pre-Sales, Solutions Consulting, Sales Engineering) in a SaaS environment. Proven experience building, leading, or mentoring a Solutions, Pre-Sales, or Technical Consulting team. Strong verbal and written communication skills with the ability to articulate technical solutions clearly to a variety of stakeholders. Degree in Computer More ❯

Lex, Bedrock). Experience with serverless architectures and event-driven design patterns. Familiarity with containerization (Docker, ECS) and observability tooling. Team Fit A proactive mindset with a passion for mentoring and uplifting team performance. Strong communication skills and the ability to work collaboratively across distributed teams. A drive to deliver value quickly while maintaining high technical standards. Please click here More ❯

its core. What’s in it for you? 📊 Meaningful Work : Work on real data challenges across forecasting, customer analytics, risk modelling, and business intelligence. 📈 Learning & Development : Structured support including mentoring, online courses, internal workshops, and the chance to explore the latest tools in data science. 💡 Culture of Innovation : Be part of a collaborative and diverse environment where experimentation is encouraged More ❯

or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension More ❯

appropriate Essential Skills and Experience Proven experience (3–5 years minimum) in an analytics or data engineering, ideally within a media, entertainment, or consumer-facing industry Experience managing or mentoring a small team, with demonstrable people leadership and project coordination skills Strong proficiency in SQL, Spark SQL, and Python for data processing and automation Knowledge of Microsoft Fabric and Azure More ❯

teams to drive the adoption and successful implementation of the platform, from conception through delivery. You will be responsible for facilitating engagement through webinars, workshops, and training, while also mentoring customers to foster self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the More ❯

into various areas, including Natural Language Processing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront of data analytics and make a significant impact. More ❯

hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API More ❯

impact solutions in this environment. Key responsibilities: Leading and driving business and data initiatives as part of a delivery team, designing and delivering scalable solutions for fixed income stakeholders. Mentoring and guiding delivery teams in building fixed income data products, identifying automation opportunities and integrating emerging technologies. Developing high-quality, well documented and efficient business requirements, ensuring development follows modern More ❯

data platforms that enable key business initiatives You have experience of leading technical design and architecture discussions, influencing technical strategy and decision making You have experience of coaching and mentoring engineers, fostering a culture of excellence within the team You have expert Python coding skills combined with a thorough understanding of software engineering best practices You have an indepth understanding More ❯

AWS, Azure, or GCP Architect and implement scalable solutions with tools like Databricks and Snowflake Integrate ingestion/orchestration frameworks across a variety of client environments Provide hands-on mentorship, line management, and technical guidance to delivery teams Collaborate directly with clients and stakeholders to translate business goals into technical outcomes Contribute to Kubrick’s internal innovation culture and shape More ❯

Responsibilities As PAM Engineer you will be responsible for managing the Beyond Trust Privileged Access Management (PAM) service and supporting infrastructure, as well as assisting in the management and mentoring of the existing PAM team members. Act as a subject matter expert for all things PAM related. Work with the team lead to ensure patterns and practices are consistently embedded More ❯

clients across the Capital Markets/Financial Services industry. Lead teams of our people and support development of Accenture’s Capital Markets practice through people focused initiatives and the mentoring of more junior team members Develop and identify sales opportunities that are aligned with client agendas, creating value-driven sales propositions through partnering with our leaders, clients, and consultants across More ❯

clients across the Asset Management/Financial Services industry. Lead teams of our people and support development of Accenture’s Asset Management practice through people focused initiatives and the mentoring of more junior team members Develop and identify sales opportunities that are aligned with client agendas, creating value-driven sales propositions through partnering with our leaders, clients, and consultants across More ❯

and other OOP languages (e.g., C#, Java). Tooling & Standards: • Experienced with DevOps, GitHub, and automated testing tools. • Knowledge of ISO9001 and ISO27001 standards and integrated management systems. Consultancy & Mentoring: • Consultancy experience in Microsoft Dynamics NAV/BC implementations. • Familiar with third-party NAV/BC tools such as Tasklet Mobile WMS, Continia, and Zetadocs. • Confident team collaborator. Professional Attributes More ❯

a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles Take our theoretical course content and tailor it for each individual learner that you are supporting through regular teaching sessions and More ❯

company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work More ❯

hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API More ❯