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- Tasks: Lead complex data and AI projects, ensuring timely delivery and stakeholder engagement.
- Company: Join Inference Group, a dynamic tech startup revolutionising data and AI for businesses.
- Benefits: Enjoy training opportunities, access to cutting-edge technology, and a fun, innovative work culture.
- Why this job: Make a real impact in a fast-growing consultancy while working with industry experts.
- Qualifications: 7+ years in project management, with a focus on data science and machine learning.
- Other info: Ideal for ambitious individuals eager to grow into future leaders in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
Are you ready to be a part of a company that’s redefining the future of data and AI? Welcome to Inference Group, where we’re not just a tech startup – we’re a team of passionate innovators dedicated to empowering businesses through the transformative power of data, machine learning, and AI.
At Inference Group, we’re on a mission to help businesses unlock their true potential and drive sustainable growth. As we rapidly expand, we’re looking for like-minded, creative technical experts who want to make a real impact. Here, you’ll work alongside leading experts in data, AI, and technology, guiding clients to harness the full potential of their data.
If you’re ambitious, innovative, and eager to contribute to the early stages of a dynamic consultancy, we’d love to have you on board. Together, we’ll explore the limitless opportunities of data and AI, driving excellence and having a lot of fun along the way.
We are seeking an experienced Senior Technical Project Manager to lead the delivery of complex data science, machine learning, and analytics projects for our clients. You will be the on point person ensuring projects are delivered on time and within scope, all while managing technical risks and keeping stakeholders (both internal and client-side) fully engaged. This is a high-impact, client-facing role suited for a candidate with a consulting mindset who can balance technical depth with business acumen. If you have a passion for translating innovative AI ideas into real-world solutions and excel at guiding teams through delivery complexity, we want to hear from you.
- Lead end-to-end project delivery: Plan, execute, and oversee data and AI projects from inception through production deployment. Ensure project goals, scope, and timelines are clearly defined and met.
- Manage and align the efforts of: data scientists, ML engineers, data engineers, cloud architects, and business analysts.
- Client and stakeholder management: Serve as the primary liaison for client stakeholders, building trust and managing expectations.
- Guide teams in architecting and implementing solutions: on GCP (and other cloud platforms as needed), utilizing services and tools (e.g. BigQuery, Vertex AI, Cloud Storage) to ensure scalability and reliability.
- Champion MLOps practices: such as CI/CD pipelines for ML, automated testing, and model monitoring to enable robust, sustainable deployments.
- Risk management and problem-solving: Proactively identify and mitigate technical risks and blockers throughout the project lifecycle.
- Agile project governance: Apply appropriate project management methodologies (Agile/Scrum or hybrid approaches) to track progress and adapt to changes.
- Drive continuous improvement: by capturing lessons learned and best practices for future projects.
- Support growth and innovation: Work closely with account directors and the sales team in scoping new engagements, contributing to proposals, and identifying opportunities to expand our work with existing clients.
This role provides a unique opportunity for a proactive and driven individual to take their consulting career to the next level.
- Proven Project Management Experience: 7+ years of experience managing technology projects (with at least 3+ years specifically leading data science, machine learning, or advanced analytics initiatives).
- Technical Background in Data/AI: Strong understanding of the data science lifecycle and machine learning concepts.
- Hands-on experience: delivering projects on cloud platforms, such as Google Cloud Platform.
- MLOps and Data Engineering Knowledge: version control for data/models, CI/CD for machine learning, containerization (Docker, Kubernetes), and pipeline orchestration.
- Leadership and Team Management: Ability to motivate team members, resolve conflicts, and make informed decisions to keep the project moving forward.
- Agile and Project Process Skills: Proficiency in project management methodologies (Scrum/Agile, Kanban, and traditional project management as needed).
- Experience in a client-facing role: or consulting environment is highly valued.
- Adept at analytical thinking: and creative problem-solving.
- Educational Background: Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Engineering, Information Systems, or similar).
- Consulting Experience: Prior experience in a consulting firm or managing projects for external clients.
- Advanced Cloud & Data Certs: Certifications such as Google Professional Cloud Architect or Machine Learning Engineer, or similar certifications on AWS/Azure.
- Tooling and Tech: Familiarity with tools and platforms commonly used in data & AI projects.
- Big Data & Analytics: Experience with big data technologies (Spark, Hadoop) or real-time data streaming (Kafka) in the context of analytics projects.
We are a young small company, growing quickly and are looking to hire people at this stage who will be our future leaders. We have access to the latest technology, and will provide training in these and certifications to help you grow.
If you like our mission, if you support our values, we encourage you to apply.
Technical Senior Project Manager employer: Inference Group
Contact Detail:
Inference Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Senior Project Manager
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Google Cloud Platform, BigQuery, and Vertex AI. Being able to discuss these platforms confidently during your interview will demonstrate your technical knowledge and readiness for the role.
✨Tip Number 2
Showcase your experience in managing complex projects by preparing examples that highlight your problem-solving skills and ability to mitigate risks. Be ready to discuss how you've handled challenges in previous roles, particularly in data science or machine learning contexts.
✨Tip Number 3
Emphasise your consulting experience and client-facing skills. Prepare to share instances where you've successfully managed client expectations and built strong relationships, as this is crucial for the Senior Technical Project Manager role.
✨Tip Number 4
Demonstrate your leadership abilities by discussing how you've motivated teams and resolved conflicts in past projects. Highlighting your capacity to lead diverse teams will show that you're not just a project manager, but a potential future leader at Inference Group.
We think you need these skills to ace Technical Senior Project Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in project management, particularly in data science and AI. Use specific examples that demonstrate your ability to lead complex projects and manage technical risks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI. Discuss how your background aligns with Inference Group's mission and values, and provide examples of how you've successfully managed client relationships and project delivery.
Showcase Technical Skills: Clearly outline your technical skills related to data science, machine learning, and cloud platforms like GCP. Mention any relevant certifications or hands-on experience that would make you a strong candidate for the role.
Highlight Consulting Experience: If you have prior consulting experience, emphasise it in your application. Discuss how you've navigated client expectations and delivered under defined contracts, showcasing your understanding of the consulting dynamics.
How to prepare for a job interview at Inference Group
✨Showcase Your Technical Expertise
Be prepared to discuss your technical background in data science and machine learning. Highlight specific projects you've managed, focusing on your understanding of the data science lifecycle and cloud platforms like GCP.
✨Demonstrate Client Management Skills
Since this role involves significant client interaction, share examples of how you've successfully managed client expectations and built trust. Discuss your approach to stakeholder engagement and how you ensure satisfaction throughout project delivery.
✨Emphasise Agile Methodologies
Familiarity with Agile/Scrum is crucial for this position. Be ready to explain how you've applied these methodologies in past projects, including running sprint planning sessions and adapting to changes effectively.
✨Prepare for Problem-Solving Scenarios
Anticipate questions about risk management and problem-solving. Prepare to discuss specific challenges you've faced in previous projects, how you identified risks, and the contingency plans you developed to overcome them.
