At a Glance
- Tasks: Lead AI engineering projects and inspire teams to innovate and excel.
- Company: Join PwC, a leader in data and analytics engineering.
- Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for growth.
- Other info: Dynamic work environment with a focus on continuous learning and improvement.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Bachelor's degree and 5 years of AI engineering experience required.
The predicted salary is between 63000 - 77000 £ per year.
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you will manage client relationships and confirm project deliverables meet expectations. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while upholding remarkable standards of quality and innovation in deliverables.
Responsibilities:
- Work with cross-functional teams to incorporate AI into various applications
- Drive initiatives that enhance project outcomes through creative strategies
- Identify and utilize opportunities for advancements in technology
- Inspire and motivate team members to excel in their contributions
- Uphold exceptional standards of quality and innovation in deliverables
- Foster an environment that encourages continuous improvement and learning
What You Must Have:
- Bachelor's Degree
- 5 years of experience in AI engineering or related field
What Sets You Apart:
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Designing, training, and deploying machine learning models
- Developing scalable, cloud-native microservices using Docker and Kubernetes
- Building end-to-end AI applications integrated into various platforms
- Managing CI/CD pipelines for AI systems using GitHub Actions
- Implementing vector databases and orchestration tools like LangChain
- Translating complex business problems into software-engineered AI solutions
- Deploying on cloud platforms like AWS, GCP, Azure
- Contributing to open-source projects or AI/ML publication
Travel Requirements: Not Specified
The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage.
CTIO AI Engineering Manager in Birmingham employer: PwC
PwC UK is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the legal sector. With flexible working arrangements and comprehensive benefits like private medical cover, employees are empowered to achieve a healthy work-life balance while pursuing meaningful career growth opportunities. Joining PwC means being part of a forward-thinking team dedicated to transforming the legal landscape, making it a rewarding place for professionals seeking to make a significant impact.
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We think you need these skills to ace CTIO AI Engineering Manager in Birmingham
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