Machine Learning Engineering Manager

Job title:

Machine Learning Engineering Manager

Company

FDJ United

Job description

DetailsWork Location Type:HybridOffice:Type of Employment:Full Time PermanentReference Number:TEC2416About UsAt FDJ UNITED, we don’t just follow the game, we reinvent it.FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?The roleAs an Engineering Manager, you are passionate about leadership and committed to inspiring and empowering your team of cross-functional software engineers and team leads.In your role you will support and foster career development, ensuring that each team member has the necessary resources to progress and thrive in the team and at FDJ United.You will focus on setting up the team for success, adapting team capacity to business needs and providing the environment and culture that supports a thriving engineering community throughout the organization. You are expected to collaborate with other managers in the Tech and Sportsbook organization and interact with business teams, product teams and other stakeholders as needed.Kindred’s ambition is to be the most data driven gambling company and in the last few years we’ve invested heavily in our data and analytics capabilities. We are now at the next stage of our journey, building our capability for developing end-to-end machine learning data products, from research conducted by our Data Scientists through to applications built by our Machine Learning Engineers.We are looking for a Machine Learning Engineering Manager to support the development of our Personalisation and Risk Management products for our Kindred Sportsbook Platform.What you will do:Lead teams to success:

• Drive teams to deliver exceptional solutions, holding yourself and others to account on their commitments, finding a path forward when goals might not clearly align
• Track the quality of the team’s output, stability of the products, incidents, performance etc, and act on the findings
• Be accountable for the alignment of the team’s work with the organizational goals and missions, including secure development and tech processes
• Create and maintain an ownership culture by coaching and setting clear expectations and taking corrective actions where necessary
• Ensure teams always seek to improve and can measure accordingly e.g. efficiency, quality, value-driven
• Create an environment of transparent communication and information sharing to ensure the team has necessary context for strategies originating from various parts of the company.

Grow individuals professionally

• Continuously evaluate performance and provide feedback to your team members, setting compensation accordingly
• Set and track appropriate personal development goals for individual growth and motivation
• Ensure employees receive the appropriate training, coaching and mentoring to maximize their potential at work
• Foster a positive and enjoyable work environment, ensuring team members feel valued in the workplace, are given equal opportunities, and supported in their work life balance
• Address and effectively manage conflicts or instances of underperformance should they arise
• Encourage your team members to grow within the team as well as in the broader organization

Organize and optimize the workforce

• Actively shape the Engineering organization for the future, keeping changing technologies and market demands in mind.
• Structure teams for timely and scalable delivery, ensuring each team has clear ownership with minimal dependencies, has the necessary skills and is appropriately sized
• Make plans to align the workforce to strategic goals, creating new teams or winding down existing teams as necessary
• Optimize utilization of resources, redistributing and upskilling (cross-training) our talent for best use in the organization
• Recruit top talent, considering best fit skills and dynamics for the team needs
• Align with Talent Acquisition, ensuring a smooth recruitment process and a good experience for the applicants

Create the environment that supports technical excellence:

• Grow and promote the Engineering culture
• Navigate the technical landscape in the teams, understand complexity of components, architecture and dependencies.
• Drive continuous improvement across the Engineering organization, collaborating with relevant roles and stakeholders to ensure the Engineering function is highly
• effective, delivering quality solutions with scalability and sustainability
• Proactively identify shortcomings and implement a way forward
• Foster an environment of technical innovation and thought leadership. Organize activities, provide platforms and promote participation in forums that support this
• e.g. Hackdays, Geek Sessions, external conferences and meet-ups

Governance, Risk & Compliance

• Ensure that you, and your team, adhere to the Governance, Risk & Compliance (GRC) obligations within your direct responsibility and control.
• Ensure any non-compliance incidents within your team are raised through the appropriate channels (Compliance Incidents Process) and that your team are informed of any reporting processes relevant to them.
• Challenge processes, policies and projects that will negatively impact compliance within the Group.
• Ensure your team’s completion of all mandatory compliance trainings within the set deadline.
• Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.

Skills and experience required:

• Leadership and people management
• Skilled in supporting others through coaching and mentoring, always put individuals first
• Experience in working in a Agile domain within a fast-paced culture
• Building successful teams and inspiring others to improve
• Positive, pragmatic attitude that thrives on making others successful
• A technical background in cloud computing

Our Way Of WorkingOur world is hybrid.A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.Application ProcessWe believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.DetailsWork Location Type:HybridOffice:Type of Employment:Full Time PermanentReference Number:TEC2416LocationLoading…Close mapLocationLondonKindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE

Expected salary

Location

London

Job date

Tue, 18 Mar 2025 23:27:53 GMT

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