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As aSenior Analytics Strategistyou will work alongside data scientists helping us deliver success on behalf of our customers by providing consulting expertise to customers on our advanced machine learning models and rules-based solutions that predict individual customer behaviours and prevent fraud

You will bring a rigorous scientific approach independent mindset and broad interest in developments across the machine learning field. Experience of building machine learning solutions for novel problems and/or resource-constrained situations and/or current edge-processing platforms. Experience of

Senior Director AI Governance Introduction to role: The R&D Data Office is embarking on a bold transformation to support AZ ambitions to double the productivity of the R&D drug development pipeline by 2030; empowered through effective use of data and AI to power scientific innovation and accelerate data driven decisions speeding the delivery of medicines for patients. The Data and AI Policy and Governance team stands at the forefront of this change; unlocking data and AI use in a responsible way to enable the R&D business while at the same time protecting patient data and meeting our regulatory obligations. The Senior Director of AI Governance will be a visible member of the Data and AI Policy and Governance team who engages with senior leaders across R&D and Enterprise to encourage and enable the use of AI and digital technologies to advance drug development. They will possess technical awareness of the fast-paced AI and digital health industry and provide consultancy to push the boundary for benefit while using AI and digital technologies ethically and safely. AstraZeneca R&D is committed to transforming the way we work through data and AI creating unprecedented insights and assistance that augment our human capabilities. As such an array of AI capabilities from machine learning deep learning foundational models computer vision large language models (LLM) diagnostics and agentic AI have been embedded into our every day. The Senior Director of AI Governance will be a trusted partner with R&D that fosters a culture of responsible AI innovation. The Senior Director of AI Governance will play a pivotal role in advancing this R&D transformation by leading the AI governance strategy; working with R&D leaders to unlock barriers and encourage the use of AI and digital technologies to innovate and accelerate drug development. They will oversee our AI governance assessments liaise with enterprise governance and cross- functional collaborators and develop AI policies for responsible use addressing the principles of transparency FAIR data governance accountability bias mitigation human-centricity privacy and security in a risk balanced way. Finally the Senior Director of AI Governance will develop an external view of evolving regulations in the global AI and digital health space engage in AI industry forums to both learn and influence new regulations and establish responsible ways of working that maximise the value of patient drug product and device data and AI to drive healthcare advancements. Accountabilities: Partner with leaders across R&D and Enterprise to foster a culture of responsible AI innovation Establish a network of R&D AI experts that can both contribute to and benefit from the AI governance strategy Direct the AI governance strategy for R&D; keeping up with new advancements in the AI and digital technology field applying AZs principles of responsible use to advance science while meeting our global ethical and regulatory compliance obligations Embed responsible use of data into the AI governance strategy; integrating data rights privacy and transparency Establish R&D position/policies in alignment with senior leaders that maximize our ability to benefit patients using AI and the digital technologies of the future Encourage and evangelize the use of AI and digital technologies; designing innovative ways to navigate barriers thinking out of the box as well as learning from our pharma peers and global AI technologists Influence clinical operations captured data rights through informed consent and protocol language and anonymization practices to improve data and AI benefit for scientific health related research Centralize and simplify R&D AI and other governance practices; adding clarity and balanced governance to categories of AI Perform third party review and due diligence on AI and patent data business development opportunities as required Establish connections and influence among AI leaders to both inform our practice and ensure benefit to patients Maintain relationships with key partners and close awareness of corporate initiatives industry standards and regulations Actively contribute to the Data and AI Policy and Governance team strategy goals and roadmap as a key leader on the team Act as a trusted business partner; using creativity to solve for challenges; using influence to remove barriers; and using voice to escalate risks and issues Actively contribute to the R&D Data Offices fun and innovative culture bring your authentic self take time for community celebrate the diversity of thought and identity take risks and accept failures Contribute to the evangelism of R&D Data Offices prowess and accomplishments through targeted communications celebration of achievements conferences and/or external communications Essential Skills/Experience: Demonstrated 12 years of experience working cross- functionally in leading application of digital health device data privacy data and AI law compliance and/or data science in the biotech/pharma industry Minimum of a Bachelors degree from an accredited university in a relevant legal scientific technical and/or business field Highly collaborative with demonstrated experience influencing and communicating with cross-functional executive leaders Experience developing a company digital data and/or AI compliance position among evolving unclear and/or conflicting regulations Experience implementing new R&D business processes Experience with risk management and audit readiness Working knowledge of clinical trial regulations data privacy digital data and AI governance and/or device law Demonstrated ability to engage in gap analysis compliance and/or technology discussions in biotech/pharma Desirable Skills/Experience: Higher education in a Computer Science Data Science Compliance or Law field highly beneficial Energized by developing a culture of compliance and continuous learning environment Proven ability to tackle the unknown with confidence Energized by working with hard-working and diverse teams toward a common goal often translating through communication gaps Established network in Oncology or Biopharma R&D AZ Data Offices and/or Compliance When we put unexpected teams in the same room we unleash bold thinking with the power to encourage life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world. At AstraZeneca youll be part of a journey to redefine medicine by becoming a healthcare provider beyond medicines. We embrace patient-centricity through technology to understand diseases better develop new treatments and support patients comprehensively. Our digitally-enabled R&D cycle improves clinical trials diagnostics wearables machine learning visual analytics integrated data for improved outcomes and insights for future products. Empowerment is key here; explore and disrupt while working on ground breaking projects. With resilience and adaptability youll thrive as we innovate together. Join us at the heart of AstraZenecas R&D efforts to elevate our pipeline using the latest technologies. Ready to make an impact Apply now to join our team! Date Posted 07-Aug-2025 Closing Date 29-Aug-2025 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion starting with our recruitment process. We welcome and consider applications from all qualified candidates regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations please complete the section in the application form. Required Experience: Exec Key Skills FDA Regulations,Management Experience,Manufacturing & Controls,Biotechnology,Clinical Development,Clinical Trials,Drug Discovery,Project Management,Filing,Team Management,Leadership Experience,Chemistry Employment Type : Full-Time Experience: years Vacancy: 1

Finite Element Analyst Location: Middlesbrough/Cambridge/Sheffield/Remote/Hybrid Contract: Permanent Hours: Full time Job Profile: Senior Engineer Salary/annum: 35007 - 52510 Reference number:JR100649 Closing Date: 20 August 2025 Security requirements: Project scopes may dictate the need for a Baseline Personnel Security Standard (BPSS) clearance. This is the recognised standard for pre-employment screening of individuals with access to government information. The ability to hold UK National security clearance will be beneficial allowing involvement in a wider range of our work. Note: We welcome applications from candidates with a range of experience levels. Description of role: We are seeking an enthusiastic Engineer or Senior Engineer to join the Numerical Modelling and Optimisation team here at TWI. You will solve challenging engineering issues by using techniques such as finite element analysis computational fluid dynamics and writing computer codes in programming languages such as Python Fortran and MATLAB. Why join TWI You will be joining one of the worlds foremost independent research and technology organisations specialising in all aspects of welding joining surface engineering inspection and whole-life integrity management. We are a membership-based organisation supporting companies to provide authoritative and impartial expert advice inengineeringmaterialsandjoining technologies. Why join the Numerical Modelling and Optimisation team The team supports a diverse range of industrial clients with the challenges they face and complements the work of many of the other teams at TWI by using finite element analysis and computational fluid dynamics to simulate a wide variety of processes and situations in areas such as structural integrity assessment welding engineering and advanced materials. The team has a global client base spanning a broad range of industrial sectors including aerospace power generation oil and gas hydrogen transport and defence. From day one you will contribute to solving real-world engineering problems for our clients and will rapidly gain experience in a broad range of modelling disciplines by joining a well-established team with over 130 years of combined experience in simulation. Various software and programming tools are employed predominantly Abaqus COMSOL Python Fortran and MATLAB. What will you do • You will grow your expertise in finite element analysis and scripting through a variety of project activities., • You will work on your own initiative to solve problems with the support of colleagues., • You will lead industrial member funded projects from project acceptance to conclusion and contribute to the delivery of projects led by others. Delivering these will require you to excel in taking responsibility teamwork and adaptability., • You will develop trusting relationships with colleagues and clients by working with integrity and transparency. This will require you to display the TWI value of inclusion., • You will manage your own time and exploit any opportunities to grow and develop your expertise in relevant fields., • You will build commercial relationships by interacting with clients to present TWI technology establish their needs prepare proposals and win new work. This will require you to excel in customer focus., • Strong record of applied achievement or academic achievement at degree or PhD level in Engineering Materials Science Mathematics Physics or related discipline., • Experience in scripting using programming languages for example MATLAB Python and Fortran., • Experience in data analysis for example assessing experimental results using techniques such as machine learning., • Positive and proactive attitude., • Excellent problem-solving skills., • Effective communication skills to agree customer requirements and convey updates., • Works well with team members as well as alone. Helps and supports others., • Takes ownership of project work to deliver on-time and to high quality., • Experience in finite element modelling., • Experience in manufacturing process (e.g. welding) simulation, • Experience in structural integrity simulation for example fracture and fatigue assessments., • Management of interdisciplinary projects and tasks., • Professional accreditation such as NAFEMS-certified Profession Simulation Engineer Chartered Engineer/Mathematician • ___Finite Element Analyst Location: Middlesbrough/Cambridge/Sheffield/Remote/Hybrid Contract: Permanent Hours: Full time Job Profile: Senior Engineer Salary/annum: 35007 - 52510 Reference number:JR100649 Closing Date: 20 August 2025 Security requirements: Project scopes may dictate the need for a Baseline Personnel Security Standard (BPSS) clearance. This is the recognised standard for pre-employment screening of individuals with access to government information. The ability to hold UK National security clearance will be beneficial allowing involvement in a wider range of our work. Note: We welcome applications from candidates with a range of experience levels. Description of role: We are seeking an enthusiastic Engineer or Senior Engineer to join the Numerical Modelling and Optimisation team here at TWI. You will solve challenging engineering issues by using techniques such as finite element analysis computational fluid dynamics and writing computer codes in programming languages such as Python Fortran and MATLAB. Why join TWI You will be joining one of the worlds foremost independent research and technology organisations specialising in all aspects of welding joining surface engineering inspection and whole-life integrity management. We are a membership-based organisation supporting companies to provide authoritative and impartial expert advice inengineeringmaterialsandjoining technologies. Why join the Numerical Modelling and Optimisation team The team supports a diverse range of industrial clients with the challenges they face and complements the work of many of the other teams at TWI by using finite element analysis and computational fluid dynamics to simulate a wide variety of processes and situations in areas such as structural integrity assessment welding engineering and advanced materials. The team has a global client base spanning a broad range of industrial sectors including aerospace power generation oil and gas hydrogen transport and defence. From day one you will contribute to solving real-world engineering problems for our clients and will rapidly gain experience in a broad range of modelling disciplines by joining a well-established team with over 130 years of combined experience in simulation. Various software and programming tools are employed predominantly Abaqus COMSOL Python Fortran and MATLAB. What will you do • You will grow your expertise in finite element analysis and scripting through a variety of project activities., • You will work on your own initiative to solve problems with the support of colleagues., • You will lead industrial member funded projects from project acceptance to conclusion and contribute to the delivery of projects led by others. Delivering these will require you to excel in taking responsibility teamwork and adaptability., • You will develop trusting relationships with colleagues and clients by working with integrity and transparency. This will require you to display the TWI value of inclusion., • You will manage your own time and exploit any opportunities to grow and develop your expertise in relevant fields., • You will build commercial relationships by interacting with clients to present TWI technology establish their needs prepare proposals and win new work. This will require you to excel in customer focus., • Strong record of applied achievement or academic achievement at degree or PhD level in Engineering Materials Science Mathematics Physics or related discipline., • Experience in scripting using programming languages for example MATLAB Python and Fortran., • Experience in data analysis for example assessing experimental results using techniques such as machine learning., • Positive and proactive attitude., • Excellent problem-solving skills., • Effective communication skills to agree customer requirements and convey updates., • Works well with team members as well as alone. Helps and supports others., • Takes ownership of project work to deliver on-time and to high quality., • Experience in finite element modelling., • Experience in manufacturing process (e.g. welding) simulation, • Experience in structural integrity simulation for example fracture and fatigue assessments., • Management of interdisciplinary projects and tasks., • Professional accreditation such as NAFEMS-certified Profession Simulation Engineer Chartered Engineer/Mathematician

In this algorithm engineer role you will be actively involved in supporting and delivering various products encompassing tasks such as camera color characterization programming and validation of ISP blocks diagnosing color-related issues and fine parameter tuning. Additionally you will be tasked with developing new algorithms to solve the existing challenges or to propose innovative applications for future products. Youll partner with various camera technology teams to streamline algorithm deployment such as accelerating algorithms in silicon with SOC architecture team improving new camera components with HW team devising new measurement methodologies with factory team or prototyping your work with camera simulation team. The perfect candidate is hard-working adept at problem-solving and quick to grasp new concepts. You are comfortable working in a dynamic multi-functional environment quick to establish relationships and collaborated with many dedicated engineers to build high-quality features in Apple products. • BS and a minimum of 3 years relevant industry experience, • Work experience in camera sensor color characterization and color image processing pipeline including auto white balance camera color conversion and color management, • Skilled in ISP algorithm development and capable of independently managing product delivery from problem definition to implementation, • Proficiency in programming languages such as MATLAB Python C/C or similar, • Design refine and optimize algorithms for color processing in ISP pipelines focusing on areas such as auto white balance color correction and color space conversion, • Implement and refine color management techniques to ensure accurate color reproduction across various images/videos/devices, • Proficiency in self-driving project development spanning from problem identification to concept validation and engineering implementation applying tools such as mathematical modeling statistical analysis image processing techniques and machine learning, • Expertise in identifying diverse color issues within intricate ISP systems and in precision tuning of parameters to achieve optimal image quality, • Stay updated with the latest advancements in color science image processing and machine learning techniques and apply them to improve existing algorithms and develop new solutions, • Experience with HDR imaging and advanced computational photography techniques is beneficial, • Self driven and passionate for color image quality excellence

AWS Polly is looking for a passionate talented and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language Models (LLMs) and multimodal architectures to deliver expressive high-fidelity speech across hundreds of languages and voices. Key job responsibilities As an Applied Scientist on AWS Polly team you will be part of a fast-moving and collaborative environment where scientific innovation meets customer impact. You will research and develop advanced deep learning techniques with a focus on LLMs and transformer-based architectures to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling speech style transfer multilingual synthesis and controllable voice cloning leveraging Amazons vast compute infrastructure and rich multimodal datasets. You will be responsible for designing and experimenting with novel speech generation systems that combine text phonetics and audio to produce lifelike contextually appropriate speech. Your models will be trained at scale and optimized for performance latency and quality to meet the rigorous standards of AWS production systems. Collaboration is core to the role: youll work closely with other applied scientists engineers and product managers to translate research into customer-facing capabilities. Youll also partner with teams across AWS AI/ML including those working on Bedrock Alexa and Amazon Connect to ensure Pollys speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader you will regularly communicate your findings through technical papers internal design documents and presentations. Your ability to distill complex models and experiments into actionable insights will influence the direction of both product development and future research initiatives at Amazon. About the team AWS Polly is Amazons cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models using LLMs and multilingual training pipelines. We are part of AWS driving innovation in multimodal generative AI. This role is ideal for scientists who want to work at the intersection of speech language and deep generative modeling and who are excited by the challenge of bringing research to production at scale. • PhD or a Masters degree and experience in CS CE ML or related field, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Experience programming in Java C Python or related language, • Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing, • Experience in building machine learning models for business application, • Experience using Unix/Linux, • Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (______AWS Polly is looking for a passionate talented and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language Models (LLMs) and multimodal architectures to deliver expressive high-fidelity speech across hundreds of languages and voices. Key job responsibilities As an Applied Scientist on AWS Polly team you will be part of a fast-moving and collaborative environment where scientific innovation meets customer impact. You will research and develop advanced deep learning techniques with a focus on LLMs and transformer-based architectures to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling speech style transfer multilingual synthesis and controllable voice cloning leveraging Amazons vast compute infrastructure and rich multimodal datasets. You will be responsible for designing and experimenting with novel speech generation systems that combine text phonetics and audio to produce lifelike contextually appropriate speech. Your models will be trained at scale and optimized for performance latency and quality to meet the rigorous standards of AWS production systems. Collaboration is core to the role: youll work closely with other applied scientists engineers and product managers to translate research into customer-facing capabilities. Youll also partner with teams across AWS AI/ML including those working on Bedrock Alexa and Amazon Connect to ensure Pollys speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader you will regularly communicate your findings through technical papers internal design documents and presentations. Your ability to distill complex models and experiments into actionable insights will influence the direction of both product development and future research initiatives at Amazon. About the team AWS Polly is Amazons cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models using LLMs and multilingual training pipelines. We are part of AWS driving innovation in multimodal generative AI. This role is ideal for scientists who want to work at the intersection of speech language and deep generative modeling and who are excited by the challenge of bringing research to production at scale. • PhD or a Masters degree and experience in CS CE ML or related field, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Experience programming in Java C Python or related language, • Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing, • Experience in building machine learning models for business application, • Experience using Unix/Linux, • Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___AWS Polly is looking for a passionate talented and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language Models (LLMs) and multimodal architectures to deliver expressive high-fidelity speech across hundreds of languages and voices. Key job responsibilities As an Applied Scientist on AWS Polly team you will be part of a fast-moving and collaborative environment where scientific innovation meets customer impact. You will research and develop advanced deep learning techniques with a focus on LLMs and transformer-based architectures to push the boundaries of natural speech generation. Your work will span areas such as prosody modeling speech style transfer multilingual synthesis and controllable voice cloning leveraging Amazons vast compute infrastructure and rich multimodal datasets. You will be responsible for designing and experimenting with novel speech generation systems that combine text phonetics and audio to produce lifelike contextually appropriate speech. Your models will be trained at scale and optimized for performance latency and quality to meet the rigorous standards of AWS production systems. Collaboration is core to the role: youll work closely with other applied scientists engineers and product managers to translate research into customer-facing capabilities. Youll also partner with teams across AWS AI/ML including those working on Bedrock Alexa and Amazon Connect to ensure Pollys speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader you will regularly communicate your findings through technical papers internal design documents and presentations. Your ability to distill complex models and experiments into actionable insights will influence the direction of both product development and future research initiatives at Amazon. About the team AWS Polly is Amazons cloud-based text-to-speech service. We deliver lifelike voices and scalable APIs to customers around the world. The Polly science team builds next-generation speech generation models using LLMs and multilingual training pipelines. We are part of AWS driving innovation in multimodal generative AI. This role is ideal for scientists who want to work at the intersection of speech language and deep generative modeling and who are excited by the challenge of bringing research to production at scale. • PhD or a Masters degree and experience in CS CE ML or related field, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Experience programming in Java C Python or related language, • Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing, • Experience in building machine learning models for business application, • Experience using Unix/Linux, • Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (

We are seeking an enthusiastic and self-motivated Lecturer in Plumbing to join our dynamic Department of Construction. This exciting role offers the opportunity to design and deliver Plumbing courses to a diverse range of learners in both practical and theoretical settings. The successful candidate will also contribute to the ongoing development of the department provide tutorial support to students and undertake essential administrative tasks. Key Responsibilities: • Deliver engaging and high-quality teaching and assessment across a range of Plumbing programmes., • Ensure all teaching is in line with awarding body requirements to promote student achievement., • Develop and maintain teaching materials including handouts assignments and electronic resources., • Prepare Schemes of Work and Schemes of Assessment., • Carry out moderation assessment and verification processes., • Provide tutorial guidance to students track and review their progress and communicate feedback to learners parents/guardians and employers., • Industry experience within the Plumbing and Construction sector., • A minimum Level 3 vocational qualification in Plumbing., • Ability to deliver inspirational teaching to learners of varying ages and abilities., • Strong interpersonal and communication skills., • Commitment to student success and development., • Teaching qualification (or willingness to obtain one)., • Experience in assessing and verifying vocational qualifications. In addition we value our staff as we understand they make the difference in transforming lives our investment in our staff has been formally recognised in being accredited with Investors in People Gold status. Just some of the rewards you can benefit from joining our staff include: • Generous holiday leave entitlement plus bank holidays - Teaching staff 42 days management 35 days and support staff 27 addition to 8 days bank holidays plus Christmas closure, • Generous pension scheme - Generous Contributory Pension Schemes: TPS 28.68% and LGPS 23.5%, • Free gym membership option and discounted classes, • Discounted rates on college courses, • BUPA Health Expenses cash plan and Occupational Health services, • Free annual flu vaccination and Corporate Eye Care Scheme, • Free on-site car parking with EV charging spaces available, • Exclusive discounts for high street and online stores, • On site subsidised restaurants retail and coffee outlets including Costa and Starbucks, • Free independent telephone counselling service with our Employee Assistant Programme, • Staff Development opportunities., • Discounted or fully funded rates on college course., • The Park Restaurant 10% Discount Job Type: Full-time Pay: Up to 41782.00 per year Key Skills Machine Shop,IT Sales,Client Services,FMCG,Contract Employment Type : Full-time Experience: years Vacancy: 1

New Senior Digital FPGA Engineer - IP / Machine Learning in job available in Cambridge Cambridgeshire • Cambridge based business in the technology hub of the UK, • Rare opportunity to be part of a leading Machine Learning / AI technology business As a Senior Digital FPGA Engineer you will develop FPGAs using SystemVerilog. Youll work closely with software and machine learning experts to help build low-latency / high-throughput applications. What skills and experience is required: • FPGA Design development and testing experience, • Previous experience in using SystemVerilog VHDL and/or Verilog, • Software skills using C / C or Python, • Exposure to Quartus and/or Vivado New Senior Digital FPGA Engineer - IP / Machine Learning in job available in Cambridge Cambridgeshire • Cambridge based business in the technology hub of the UK, • Rare opportunity to be part of a leading Machine Learning / AI technology business As a Senior Digital FPGA Engineer you will develop FPGAs using SystemVerilog. Youll work closely with software and machine learning experts to help build low-latency / high-throughput applications. What skills and experience is required: • FPGA Design development and testing experience, • Previous experience in using SystemVerilog VHDL and/or Verilog, • Software skills using C / C or Python, • Exposure to Quartus and/or Vivado

As an algorithm developer you will be responsible for crafting the creative look of videos captured with Apple cameras by developing capture side tone mapping algorithms. You will drive algorithm development across all stages of the cycle; from the initial idea and proof of concept work through on-device implementation all the way to field testing validation and finally surprising and delighting our customers. Prototype novel tone mapping algorithms in high level software languages such as Matlab or PythonImplement test and refine developed approaches in Apple products to meet image quality expectations and satisfy code execution time criteriaCollaborate with hardware design teams on developing new image processing blocks improving image qualityInfluence the artistic look of Apple cameras across different product categories (phones portables tablets) and modalities (video and still capture playback)Define and develop feature proposals for different use cases targeting consumer and professional markets • BS and a minimum of 3 years of relevant industry experience, • Track record of developing image processing algorithms for example: auto white balance tone mapping auto exposure and high dynamic range capture, • Validated coding skills in Matlab or Python, • Familiarity with a digital camera image processing pipeline and the Image Signal Processor (ISP), • Understanding of image quality metrics and subjective evaluations, • Proven knowledge of HDR encoding standards, • Prior experience with professional video content postproduction and color grading workflows, • Curiosity about vision science and/or color science, • Programming skills in C/C, • Exposure to machine learning algorithms

Our products have a considerable complexity and rich feature set that push our hardware and software to the edge. We are looking for a great teammate who will be responsible for the image quality tuning of Apple camera systems. This role requires an understanding of different ISP and framework components and their impact on image quality a clear vision of what constitutes a phenomenal camera and a strong dedication to drive features into a better camera user experience. You will contribute directly to a variety of cutting-edge technologies such as Deep Fusion HDR Portrait mode and various algorithm development. You will participate in quality evaluations for new features and algorithms through experimental studies and provide direct feedback to the engineering this role youll be a critical part of a fast-paced collaborative team who thrive in a high-energy time-constrained multitasking environment. • Minimum of 2 years of experience as an image quality testing tuning or image processing algorithms engineer., • Understanding and hands-on experience of 3A de-noising fusion tone-mapping algorithms., • Experience in research design and development of automation and tools metrics and methodologies to improve camera tuning processes., • Experience in at least one of the following: C C Objective-C Swift Python or shell programming., • Excellent written and verbal communication skills. Experience in cross-functional collaboration., • Some understanding of machine learning and image processing technologies., • Excellent sense of photography videography cinematography., • Experience with software and hardware on consumer devices and cell phone cameras is a plus., • Experience with iOS / macOS app development is a plus., • Working knowledge or research of human vision and psychophysics is a plus.

In this role you will be working on developing software that power Photos Apple Intelligence features on Apple platforms such as the iPhone iPad macOS and the VisionPro. Candidates should have a proven track record that demonstrates innovation strong collaboration excellent interpersonal skills and a passion for designing and developing high-quality software. • Proven experience in developing and shipping production quality software, • C / C / Objective-C / Swift programming experience, • Exceptional problem-solving and interpersonal skills, • Proven ability to excel in a fast-paced development team, • Experience in implementing Machine Learning Deep Learning and Knowledge Graph algorithms, • Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems, • Experience designing and developing systems that are efficient in resource constrained environments Required Experience: Senior IC Key Skills Spring,.NET,C/C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems Employment Type : Full Time Experience: years Vacancy: 1

You will be responsible for defining key research directions focusing on LLMs adopting or inventing new NLP techniques conducting rigorous experiments publishing results and ensuring that research is translated into practice. You will develop long-term strategies persuade teams to adopt those strategies propose goals and deliver on them. You will also participate in organizational planning hiring mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception design implementation testing to documentation delivery and maintenance). About the team The Alexa Conversational Modelling Intelligence team is looking for a passionate talented and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa in order to provide the best-possible customer experience for our customers. PhD with specialization in artificial intelligence natural language processing machine learning or computational cognitive science 10 years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (Python Java etc..). Excellent written and spoken communication skills. 10 years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated Experience in training LLMs through PT SFT and LHF backed by top-tier publications. Published research work in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically but stays on top of tactical execution. Exhibits excellent business judgment; balances business product and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing information-based arguments. With a strong bias for action this individual will work equally well with science engineering economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (______You will be responsible for defining key research directions focusing on LLMs adopting or inventing new NLP techniques conducting rigorous experiments publishing results and ensuring that research is translated into practice. You will develop long-term strategies persuade teams to adopt those strategies propose goals and deliver on them. You will also participate in organizational planning hiring mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception design implementation testing to documentation delivery and maintenance). About the team The Alexa Conversational Modelling Intelligence team is looking for a passionate talented and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa in order to provide the best-possible customer experience for our customers. PhD with specialization in artificial intelligence natural language processing machine learning or computational cognitive science 10 years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (Python Java etc..). Excellent written and spoken communication skills. 10 years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated Experience in training LLMs through PT SFT and LHF backed by top-tier publications. Published research work in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically but stays on top of tactical execution. Exhibits excellent business judgment; balances business product and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing information-based arguments. With a strong bias for action this individual will work equally well with science engineering economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___You will be responsible for defining key research directions focusing on LLMs adopting or inventing new NLP techniques conducting rigorous experiments publishing results and ensuring that research is translated into practice. You will develop long-term strategies persuade teams to adopt those strategies propose goals and deliver on them. You will also participate in organizational planning hiring mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception design implementation testing to documentation delivery and maintenance). About the team The Alexa Conversational Modelling Intelligence team is looking for a passionate talented and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa in order to provide the best-possible customer experience for our customers. PhD with specialization in artificial intelligence natural language processing machine learning or computational cognitive science 10 years of combined academic and research experience with a strong publication record in top-tier journals and conferences. Functional thought leader sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (Python Java etc..). Excellent written and spoken communication skills. 10 years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated Experience in training LLMs through PT SFT and LHF backed by top-tier publications. Published research work in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically but stays on top of tactical execution. Exhibits excellent business judgment; balances business product and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing information-based arguments. With a strong bias for action this individual will work equally well with science engineering economics and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (

New hybrid Senior Software Engineer job based in Cambridge Cambridgeshire! This job is based on site 3 days per week and 2 days at home - applicants must live within 1 hour of Cambridge Cambridgeshire. Were looking for a talentedSenior Software Engineerto join a cutting-edge team based in Cambridge Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Senior Software Engineer job: • Building the software that runs machine learning (ML) tasks quickly and efficiently on the FPGA-based hardware, • Program bespoke hardware accelerators and create tools for debugging profiling and optimisation, • Develop efficient applications and runtime libraries for server CPUs Key skills / experience required for the Senior Software Engineer job: • MSc/PhD in a related scientific / engineering field, • Experience using Rust either professionally or personally, • Experience with low-level programming languages in general (e.g. Rust C C) or functional programming languages (e.g. Haskell OCaml Nix), • Proven experience working on relevant areas such as performance sensitive - or systems programming and compiler development This is a great opportunity for a Senior Software Engineer to join a passionate team of engineers developing software systems that perform at scale and speed in Cambridge Cambridgeshire. Apply now for the hybridSenior Software Engineer job in Cambridge Cambridgeshire by sending your CV to or call Laura on for more information. Required Experience: Senior IC Key Skills Spring,.NET,C/C++,Go,React,OOP,C#,AWS,Data Structures,Software Development,Java,Distributed Systems Employment Type : Full Time Experience: years Vacancy: 1

In this role you will be working on developing software that power Photos Apple Intelligence features on Apple platforms such as the iPhone iPad macOS and the VisionPro. Candidates should have a proven track record that demonstrates innovation strong collaboration excellent interpersonal skills and a passion for designing and developing high-quality software. • Proven experience in developing and shipping production quality software, • C / C / Objective-C / Swift programming experience, • Exceptional problem-solving and interpersonal skills, • Proven ability to excel in a fast-paced development team, • Experience in implementing Machine Learning Deep Learning and Knowledge Graph algorithms, • Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems

On the Siri team you will work alongside a fast-growing team of extraordinary engineers and scientists to solve core problems in efficient machine learning for effective dialog systems and foundation modelsranging from natural language understanding and multi-turn context tracking to the integration of speech text and other will develop and deploy novel deep learning technologies that make Siri more intelligent natural and useful. You will see your ideas not only published in papers but also improve the experience of billions of a researcher on our team youll help us advance the state of the art technology for speech and multi-modal modeling. With a focus on running advanced models efficiently on server and devices: minimizing latency preserving privacy saving energy and bringing your innovations into production. • Proven expertise in efficient deep learning with publication record in conferences (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV KDD ACL ICASSP InterSpeech) or a track record in applying efficient deep learning techniques to products, • Proficient programming skills in Python and one of the deep learning toolkits such as JAX PyTorch or Tensorflow, • Masters Degree or PhD in Mathematics or Computer Science or other technical field or equivalent industry experience, • Strong expertise in machine learning model compression and algorithm optimization techniques, • A track record in software design coding and parallel computing, • Experience with large scale machine learning training/evaluation, • On-device intelligence and learning with strong privacy protections

Full-time • Deliver high-quality teaching and learning experiences in the field of Technical Construction., • Develop and prepare teaching materials including lesson plans assessments and practical exercises., • Assess student performance and provide constructive feedback to support their academic development., • Engage and motivate students with innovative teaching techniques and comprehensive course content., • Conduct research and stay updated on industry trends to enhance the curriculum., • Collaborate with colleagues to ensure a cohesive educational environment and interdisciplinary learning., • Actively participate in departmental meetings events and continuous professional development opportunities., • Support students in their educational journey providing guidance and mentorship as needed., • A relevant degree in Construction Civil Engineering or a related field., • A teaching qualification or willingness to achieve one within a specified period., • Strong communication and interpersonal skills to effectively engage with students and colleagues., • Minimum of 1 year experience in teaching Technical Construction or a related subject., • Experience in the construction industry or relevant vocational experience is preferred., • A passion for education and a commitment to student success., • Salary: 28385 - 41782 per year based on qualifications and experience., • Generous holiday entitlement and pension scheme., • Opportunities for professional development and career progression., • A supportive working environment at a well-respected institution.

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our are seeking a passionate engineering manager to lead strategic projects that will impact the future of Apple and Siri. Our cross functional work involves modelling research design measuring deployment and so on spanning the entire product life cycle from project inception to shipping models on billions of devices. The ideal candidate would have some expertise in language technologies and in managing or leading an engineering team. • Strong understanding of machine learning concepts and technologies. Detailed understanding of building evaluating and release management processes for ML systems., • Strong leadership management planning and co-ordination skills with demonstrated ability to work collaboratively across an organization., • Experience with modern machine learning algorithms including large language models., • Experience with leading projects and co-ordinating work across a team., • Excellent project management skills including project structuring and managing work streams interdependently., • Excellent problem solving critical thinking and interpersonal skills, • Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long-term platform roadmap., • Industry experience in implementing and training large language models, • PhD or MSc in Language Technologies Machine Learning or a closely related field. Required Experience: Manager Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full Time Experience: years Vacancy: 1

New hybrid Machine Learning Engineer job based in Cambridge Cambridgeshire! Were looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: • Train and deploy SOTA models on production-scale datasets, • Optimize models using pruning quantization distillation, • Enhance speech features (diarization multilingual keyword boosting), • Scale training workflows across multi-GPU systems, • MSc/PhD in a relevant field with strong ML/deep learning foundations, • Hands-on experience with PyTorch or TensorFlow, • Expertise in model training at scale and GPU systems, • Knowledge of model compression and optimization techniques Apply now for the hybridMachine Learning Engineer job in Cambridge Cambridgeshire by sending your CV to ___Apply now for the hybridMachine Learning Engineer job in Cambridge Cambridgeshire by sending your CV to ___New hybrid Machine Learning Engineer job based in Cambridge Cambridgeshire! Were looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: • Train and deploy SOTA models on production-scale datasets, • Optimize models using pruning quantization distillation, • Enhance speech features (diarization multilingual keyword boosting), • Scale training workflows across multi-GPU systems, • MSc/PhD in a relevant field with strong ML/deep learning foundations, • Hands-on experience with PyTorch or TensorFlow, • Expertise in model training at scale and GPU systems, • Knowledge of model compression and optimization techniques Apply now for the hybridMachine Learning Engineer job in Cambridge Cambridgeshire by sending your CV to

You will use your deep scientific insight and research skills to shine light on the hardest problems exploring the art of the possible and inventing new solutions. You will design investigations to test and develop your ideas and see them become a reality through the creation of prototypes using Awerians rapid approach to design and implementation. This will involve all aspects of technology and product development from invention analysis and computational modelling through to prototype design and the transfer to manufacturing. You will see the concepts you enable have direct impact on the safety of the UK and its citizens. You will work with and lead expert teams of engineers and scientists delivering cutting edge technology to our clients. Its a fantastically challenging varied and agile role. If you have an insatiable curiosity and demonstrable skills in applying fundamental physics to real-world scenarios you will thrive here. Awerians Physicists come from a wide range of backgrounds and no two Awerian Consultants or projects are ever the same. Previous projects have covered areas such as: • quantum technologies including sensing position navigation & timing computing and communications, • semiconductor physics including junction behaviour logic thermal effects and sensing, • electromagnetics including propagation penetration interference plasmas and interaction with electronics, • sonar and acoustics including ultrasound and acoustic communications, • thermal systems including aviation and maritime and materials processes, • fluid analysis including particle dispersion fluid flow and microfluidics, • algorithm design including Artificial Intelligence / Machine Learning autonomous systems signal processing and classification and edge processing, • optics including propagation imaging systems fibre optics high power and ultrafast lasers fluorescence imaging and evanescent coupling. If you have an interest or experience in any area of experimental or computational physics or have relevant applied mathematics experience we would like to hear from you. Requirements: You will have a track record of academic excellence hold a relevant postgraduate degree or equivalent professional experience and have proven technical capabilities as a Physicist. We are keen to hear from Physicists with experience in any sector. Why Awerian Awerian are a defence and security technology consultancy comprised of 40 scientists and engineers. You will work at our smart and well-equipped offices and laboratories based just outside of Cambridge. Immediately you will be encouraged to share and implement your ideas - theres no newbie status and youll benefit from our culture of freedom. TTP Group is an employee-owned trust. With little hierarchy there are no corporate hoops to jump through. This along with our flat structure encourages mutual support teamwork and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track. Awerian are continuing their rapid growth plan making this a great time to join our multi-disciplinary team. You will be part of building on our successful track record and develop your career at the cutting edge of technology. You will be supported by our team of experts. Were a business of individuals however our curiosity brings us together and it drives what we do. Whether youre leading a project or part of a team the whole structure of Awerian is designed to help you connect thrive and feel included. Additional Information : The Company and Benefits: We are part of TTP Group an employee-owned trust with attractive employee benefits including: • Employer pension contribution of 10% of salary 3% personal contribution, • Private medical insurance for you and your family and Life insurance, • 25 days annual holiday plus bank holidays, • Enhanced family friendly leave, • Electric Vehicle leasing & Cycle to Work scheme, • Access to TTP Group social and sport clubs and an on-site gym, • Discounts and memberships to local sports facilities and the theatre You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme We review CVs on an ongoing basis and will arrange interviews promptly upon receiving suitable applications. Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society. We continuously strive to do better and we fundamentally believe in the power and importance of diversity both for our community and for the overall success of our business. We therefore encourage applications from all individuals. Whatever your background whatever your identity: we would love to hear from you. Remote Work : No Employment Type : Full-time Experience: years Vacancy: 1

You will use your deep scientific insight and research skills to shine light on the hardest problems exploring the art of the possible and inventing new solutions. You will design investigations to test and develop your ideas and see them become a reality through the creation of prototypes using Awerians rapid approach to design and implementation. This will involve all aspects of technology and product development from invention analysis and computational modelling through to prototype design and the transfer to manufacturing. You will see the concepts you enable have direct impact on the safety of the UK and its citizens. You will work with and lead expert teams of engineers and scientists delivering cutting edge technology to our clients. Its a fantastically challenging varied and agile role. If you have an insatiable curiosity and demonstrable skills in applying fundamental physics to real-world scenarios you will thrive here. Awerians Physicists come from a wide range of backgrounds and no two Awerian Consultants or projects are ever the same. Previous projects have covered areas such as: • quantum technologies including sensing position navigation & timing computing and communications, • semiconductor physics including junction behaviour logic thermal effects and sensing, • electromagnetics including propagation penetration interference plasmas and interaction with electronics, • sonar and acoustics including ultrasound and acoustic communications, • thermal systems including aviation and maritime and materials processes, • fluid analysis including particle dispersion fluid flow and microfluidics, • algorithm design including Artificial Intelligence / Machine Learning autonomous systems signal processing and classification and edge processing, • optics including propagation imaging systems fibre optics high power and ultrafast lasers fluorescence imaging and evanescent coupling. If you have an interest or experience in any area of experimental or computational physics or have relevant applied mathematics experience we would like to hear from you. Requirements: You will have a track record of academic excellence hold a relevant postgraduate degree or equivalent professional experience and have proven technical capabilities as a Physicist. We are keen to hear from Physicists with experience in any sector. Why Awerian Awerian are a defence and security technology consultancy comprised of 40 scientists and engineers. You will work at our smart and well-equipped offices and laboratories based just outside of Cambridge. Immediately you will be encouraged to share and implement your ideas - theres no newbie status and youll benefit from our culture of freedom. TTP Group is an employee-owned trust. With little hierarchy there are no corporate hoops to jump through. This along with our flat structure encourages mutual support teamwork and innovation. It also creates unique opportunities to develop skills in project leadership and client management to keep your professional development on track. Awerian are continuing their rapid growth plan making this a great time to join our multi-disciplinary team. You will be part of building on our successful track record and develop your career at the cutting edge of technology. You will be supported by our team of experts. Were a business of individuals however our curiosity brings us together and it drives what we do. Whether youre leading a project or part of a team the whole structure of Awerian is designed to help you connect thrive and feel included. Additional Information : The Company and Benefits: We are part of TTP Group an employee-owned trust with attractive employee benefits including: • Employer pension contribution of 10% of salary 3% personal contribution, • Private medical insurance for you and your family and Life insurance, • 25 days annual holiday plus bank holidays, • Enhanced family friendly leave, • Electric Vehicle leasing & Cycle to Work scheme, • Access to TTP Group social and sport clubs and an on-site gym, • Discounts and memberships to local sports facilities and the theatre You will need to be eligible for UK security clearance. Please note this role is not eligible for UKVI sponsorship visa scheme We review CVs on an ongoing basis and will arrange interviews promptly upon receiving suitable applications. Our business revolves around collaborating with one another to tackle genuinely hard problems. Equality and diversity in the workplace are some of the most challenging problems facing society. We continuously strive to do better and we fundamentally believe in the power and importance of diversity both for our community and for the overall success of our business. We therefore encourage applications from all individuals. Whatever your background whatever your identity: we would love to hear from you. Remote Work : No Employment Type : Full-time Key Skills Sales Experience,Direct Sales,Hyperion,Financial Services,Financial Concepts,Banking,Oracle EBS,Securities Law,Peoplesoft,Oracle,Financial Management,Workday Experience: years Vacancy: 1

You are expected to conduct high-impact research targeting the top Computer Vision and Machine Learning venues, and to focus on solutions to key technical challenges of particular interest by Samsung. Machine Learning and Computer Vision with a focus on Vision and Language. Research experience in th

These efforts support early validation, performance analysis, and enablement of advanced workloads targeting machine learning use cases. This includes providing architectural design guidance, as well as designing, developing, and deploying machine learning workloads tailored to pre-silicon environme

Cambridge, England, United Kingdom Machine Learning and AI.On the Siri team, you will work alongside a fast-growing team of extraordinary engineers and scientists to solve core problems in efficient machine learning for effective dialog systems and foundation models—ranging from natural language u

Machine Learning Operations Engineer. Demonstrated experience deploying and maintaining machine learning models in production. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learn

Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Eng

The Marketing group at CJBS comprises scholars specialising in marketing strategy and modelling, including econometrics, machine learning, and analytical approaches. We welcome applicants working in all areas of marketing. The successful candidate will hold a PhD in marketing (or a related disciplin

Applications are invited for a Research Associate/Senior Research Associate to work on the intersection of category theory and machine learning. In this collaborative project, we will apply insights from category theory to discover new applications of machine learning to proof construction and theor

Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Champion and coach the team in modern engineering practices. Microsoft is an equal opportunity employer.

Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences.Design and develop new machine learning models and algorithms.Write code to run and evaluate large-scale ML experiments.Work with internal and external partners to deploy and evaluate models

We are seeking a Product Owner to lead the development and integration of these services, starting with our Digital Mock Service. We seek candidates with proven experience as a Product Owner, Product Manager, or similar, with familiarity in AI and machine learning applications in education.

Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on building and deploying machine learning models. As a key member of our client's Data Science and Machine Learning team, the Databricks ML Engineer will play a crucial role in developing and implementing state-of-the-

Senior AI / Machine Learning Engineer.