Staff Machine Learning Engineer, Anomaly Detection

ECL Kontor
London
1 week ago
Create job alert

Staff Machine Learning Engineer, Anomaly DetectionUnited Kingdom, London Why PlayStation? PlayStation isn’t just theBest Place to Play — it’s also the Best Place to Work. Today, we’rerecognized as a global leader in entertainment producing ThePlayStation family of products and services including PlayStation5,PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStationsoftware titles from PlayStation Studios, and more. PlayStationalso strives to create an inclusive environment that empowersemployees and embraces diversity. We welcome and encourage everyonewho has a passion and curiosity for innovation, technology, andplay to explore our open positions and join our growing globalteam. The PlayStation brand falls under Sony InteractiveEntertainment, a wholly-owned subsidiary of Sony Corporation. Atthe forefront of innovation for PlayStation, the Future TechnologyGroup is dedicated to creating immersive and unforgettable gamingexperiences. As we continue to push the boundaries of technology,we are seeking a talented Staff Machine Learning Engineerspecializing in Anomaly Detection to join our dynamic R&D team.We are on a mission to revolutionize our QA processes by developingcutting-edge technologies that automatically detect bugs andglitches in game streams. This is a unique opportunity tocontribute to a global effort in making our QA processes moreefficient and effective. As a Staff Machine Learning Engineer inAnomaly Detection, you will be the technical lead in a researchteam focused on advancing our anomaly detection technology, drivingtechnical excellence and innovation. The team will design,implement, and optimize advanced algorithms and machine learningmodels to detect anomalies in game streams. Your expertise willhelp shape the future of gaming by ensuring high-quality playerexperiences. What you'll be doing: - Anomaly Detection Development:Design, develop, and implement novel anomaly detection algorithmsto automatically identify bugs and glitches in game streams. -Research and Innovation: Lead research initiatives in anomalydetection, contributing to the authorship of research papers andpresenting at relevant conferences. - Data Analysis: Performextensive data analysis and preprocessing to uncover patterns andimprove detection accuracy. - Collaboration: Work withcross-functional teams to integrate detection technologies intoproduction environments, ensuring scalability and performance. -Mentorship: Mentor and guide junior team members, fostering aculture of innovation and continuous learning. - Communication:Present findings to stakeholders, effectively communicating complextechnical concepts to both technical and non-technical audiences. -Continuous Learning: Stay current with the latest research inanomaly detection, machine learning, and artificial intelligence,disseminating knowledge across the team. - Prototyping: Quicklyprototype new ideas and technologies to evaluate their relevanceand performance. - Inclusive Culture: Promote an inclusive anddiverse work environment where every team member feels valued,respected, and empowered. What we're looking for: - Education:Master's degree in Computer Science, Electrical Engineering,Statistics, Mathematics, or a related field. A PhD is a plus. -Principal Engineer: 6+ years of experience in anomaly detection,machine learning, or related technical fields. - Domain Expertise:Prior experience in anomaly detection applied to areas such as QA,gameplay analysis, computer vision or video stream analysis. -Proven experience with machine learning frameworks such as Python,NumPy, TensorFlow, or PyTorch. - Strong understanding of dataanalysis, signal processing, and statistical modeling. - Experiencewith video processing and understanding of game streamingtechnologies is a plus. - Problem-Solving Skills: Excellentanalytical and problem-solving abilities. - Communication Skills:Strong ability to communicate complex technical issues effectively.- Interpersonal Skills: Excellent interpersonal skills with acollaborative mindset. - Passion for Gaming: An interest in gamingand improving the quality of player experiences. Equal OpportunityStatement: Sony is an Equal Opportunity Employer. All persons willreceive consideration for employment without regard to gender(including gender identity, gender expression and genderreassignment), race (including colour, nationality, ethnic ornational origin), religion or belief, marital or civil partnershipstatus, disability, age, sexual orientation, pregnancy, maternityor parental status, trade union membership or membership in anyother legally protected category. We strive to create an inclusiveenvironment, empower employees and embrace diversity. We encourageeveryone to respond. PlayStation is a Fair Chance employer andqualified applicants with arrest and conviction records will beconsidered for employment. Apply for this job * indicates arequired field First Name * Last Name * Email * Phone * Resume/CV *LinkedIn Profile Website What are your salary expectations? * Whatis your current notice period? * Do you hold the right to work inthe UK? * Would you like to stay connected with us? * Question:Stay Connected for Future Opportunities ? Thank you so much forconsidering a role with us! Should this position not be the perfectfit right now, we would be excited about the chance to explorefuture opportunities with you. We take your privacy seriously andwill ensure your information is securely stored and used only forrecruitment purposes. #J-18808-Ljbffr

Related Jobs

View all jobs

Staff Machine Learning Engineer, Anomaly Detection

Staff Machine Learning Engineer Melbourne

Staff Machine Learning Engineer (NLP, LLMs) - new PurpleAI product

Senior/Staff Machine Learning Engineer

Senior/Staff Machine Learning Engineer

Senior Machine Learning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.