Infrastructure Engineer Sr - Sr.Mongo DBA page is loaded Infrastructure Engineer Sr - Sr.Mongo DBA Apply locations AL - Birmingham (35233) AZ - Phoenix PA - Pittsburgh OH - Strongsville TX - Dallas time type Full time posted on Posted 16 Days Ago job requisition id R188701 Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. This position is primarily based in a location within PNC's footprint. Responsibilities require time in the office or in a field on a regular basis. Some responsibilities can be performed remotely. Additional locations may be considered. As an Infrastructure Engineer Sr., within PNC's Technology organization, you can be based in Pittsburgh PA, Strongsville OH, Birmingham AL, Phoenix AZ or Dallas TX. Technologies: • MongoDB version 6.0+ • Expert Experience utilizing MongoDB Ops Manager • Experience building and supporting a MongoDB Ops Manager environment • Advanced MMS configuration experience, configuring and monitoring replica sets, optimizing database/query performance • Expert Experience configuring sharding, monitoring, and identify the proper/optimal shard key • Experience Performing Security measures, backups and restore backups • User Management - creating users, assigning roles, managing permissions, etc. • Experience implementing and supporting LDAP authorization and authentication with MongoDB • Experience supporting MongoDB databases scaled across data centers. • Experience supporting MongoDB Shards. • Experience with Pearl, Bash and/or Java scripting • Experience with backup and restore of MongoDB databases using LVM snapshots and Ops Manager backups • In-depth understanding of MongoDB HA strategies, including replica sets. • Experience in writing MongoDB Schema using Mongos. • Experience with setting and tuning MongoDB system parameters PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Provides expertise on platform engineering, while overseeing the team's effort and meeting customer needs. Uses technical knowledge and industry experience to design, build and maintain technology solutions. Develops software components and hardware for complex projects; aligns these with business strategies and objectives. Provides expertise on best practices, standards, engineering approaches and complex technical resolutions for processes. Places emphasis on quality improvement efforts; ensures that deliverables are secure, scalable and reliable through estimation and correction. Communicates with customers and integrates their needs with development, to meet business objectives. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical Knowledge Competencies Application Delivery Process, Consulting, Effectiveness Measurement, Industry Knowledge, IT Industry: Trends & Directions, IT Standards, Procedures & Policies, Planning: Tactical, Strategic, Problem Solving Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $171,925.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 04/30/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visitYour PNC Total Rewards . Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices. Similar Jobs (5) Infrastructure Engineer Sr. SD-WAN Focus locations 5 Locations time type Full time posted on Posted 16 Days Ago Infrastructure Architect Sr., Cloud Control Management locations 5 Locations time type Full time posted on Posted 16 Days Ago Senior Software Engineer (Java, Python, Kafka, Jenkins, Spark) locations 5 Locations time type Full time posted on Posted 13 Days Ago Top Reasons to Join PNC Being a great place to work means we are making a lasting difference for everyone we serve. Check out the top reasons to join PNC. Total Rewards PNC's total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit our Total Rewards page . Join PNC's Talent Community If you're not ready to apply yet, or you'd like to learn more about PNC, join the Talent Community to receive regular updates on what's happening at PNC and available career opportunities. Click to join!
Jul 17, 2025
Full time
Infrastructure Engineer Sr - Sr.Mongo DBA page is loaded Infrastructure Engineer Sr - Sr.Mongo DBA Apply locations AL - Birmingham (35233) AZ - Phoenix PA - Pittsburgh OH - Strongsville TX - Dallas time type Full time posted on Posted 16 Days Ago job requisition id R188701 Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. This position is primarily based in a location within PNC's footprint. Responsibilities require time in the office or in a field on a regular basis. Some responsibilities can be performed remotely. Additional locations may be considered. As an Infrastructure Engineer Sr., within PNC's Technology organization, you can be based in Pittsburgh PA, Strongsville OH, Birmingham AL, Phoenix AZ or Dallas TX. Technologies: • MongoDB version 6.0+ • Expert Experience utilizing MongoDB Ops Manager • Experience building and supporting a MongoDB Ops Manager environment • Advanced MMS configuration experience, configuring and monitoring replica sets, optimizing database/query performance • Expert Experience configuring sharding, monitoring, and identify the proper/optimal shard key • Experience Performing Security measures, backups and restore backups • User Management - creating users, assigning roles, managing permissions, etc. • Experience implementing and supporting LDAP authorization and authentication with MongoDB • Experience supporting MongoDB databases scaled across data centers. • Experience supporting MongoDB Shards. • Experience with Pearl, Bash and/or Java scripting • Experience with backup and restore of MongoDB databases using LVM snapshots and Ops Manager backups • In-depth understanding of MongoDB HA strategies, including replica sets. • Experience in writing MongoDB Schema using Mongos. • Experience with setting and tuning MongoDB system parameters PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description Provides expertise on platform engineering, while overseeing the team's effort and meeting customer needs. Uses technical knowledge and industry experience to design, build and maintain technology solutions. Develops software components and hardware for complex projects; aligns these with business strategies and objectives. Provides expertise on best practices, standards, engineering approaches and complex technical resolutions for processes. Places emphasis on quality improvement efforts; ensures that deliverables are secure, scalable and reliable through estimation and correction. Communicates with customers and integrates their needs with development, to meet business objectives. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical Knowledge Competencies Application Delivery Process, Consulting, Effectiveness Measurement, Industry Knowledge, IT Industry: Trends & Directions, IT Standards, Procedures & Policies, Planning: Tactical, Strategic, Problem Solving Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Bachelors Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $171,925.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 04/30/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visitYour PNC Total Rewards . Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices. Similar Jobs (5) Infrastructure Engineer Sr. SD-WAN Focus locations 5 Locations time type Full time posted on Posted 16 Days Ago Infrastructure Architect Sr., Cloud Control Management locations 5 Locations time type Full time posted on Posted 16 Days Ago Senior Software Engineer (Java, Python, Kafka, Jenkins, Spark) locations 5 Locations time type Full time posted on Posted 13 Days Ago Top Reasons to Join PNC Being a great place to work means we are making a lasting difference for everyone we serve. Check out the top reasons to join PNC. Total Rewards PNC's total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit our Total Rewards page . Join PNC's Talent Community If you're not ready to apply yet, or you'd like to learn more about PNC, join the Talent Community to receive regular updates on what's happening at PNC and available career opportunities. Click to join!
We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems biology, AI, and translational research, and to contribute to open science through the Chan Zuckerberg Initiative. Your group Petsalaki Group, in collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease progression and treatment response. Rare diseases pose a unique challenge due to limited patient data-especially at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the wider rare disease and biocuration community. You will be primarily supervised by the Petsalaki group (Whole cell sigalling) and the Sheriff team (Biomodels). The Petsalaki group develops data driven network inference and modelling approaches from large omics datasets and the Sheriff team leads the development of innovative modelling approaches and maintenance of the Biomodels database. Key responsibilities include: - Generation of phenotype-specific networks from bulk-RNAseq and scRNAseq data from rare disease patients - Building executable models (Boolean, ODE, agent-based or others) from omics data - Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models - Applying hybrid modelling approaches to limited data scenarios - Enabling multi-scale and cross-disease modelling for hypothesis generation and therapy discovery - Ensure FAIR principles in your outputs and contribute to the open source community by sharing models (where possible) in BioModels and other repositories - Generation of synthetic data to represent rare disease patients that can be shared You have - A PhD in bioinformatics, physics, or a related data-intensive field - Proficiency in Python (or R), version control, and clean code practices - Experience with omics data analysis and integration - Hands-on expertise in developing and fitting executable models - Strong communication and teamwork skills You may also have - Network inference and analysis experienc - Machine learning experience - Track record of completed research projects (e.g., publications, tools) Benefits and Contract Information - Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly child allowance of £328 per child. Generous stipend reviewed yearly, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances - Hybrid working arrangements - Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) - Generous time off: 30 days annual leave per year, in addition to eight bank holidays - Relocation package - Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) - Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances - Contract duration: This position is a 2 year fixed term grant limited contract - Salary: Year 1 Stipend at rate of £3,307 (Total package will be dependant on family circumstances) - International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. - Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. - Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. - DORA - EMBL is a signatory of DORA and is committed to hiring and training outstanding research, service, and administrative personnel. Year 1 Stipend - £3,307 per month after tax
Jul 17, 2025
Full time
We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems biology, AI, and translational research, and to contribute to open science through the Chan Zuckerberg Initiative. Your group Petsalaki Group, in collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease progression and treatment response. Rare diseases pose a unique challenge due to limited patient data-especially at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the wider rare disease and biocuration community. You will be primarily supervised by the Petsalaki group (Whole cell sigalling) and the Sheriff team (Biomodels). The Petsalaki group develops data driven network inference and modelling approaches from large omics datasets and the Sheriff team leads the development of innovative modelling approaches and maintenance of the Biomodels database. Key responsibilities include: - Generation of phenotype-specific networks from bulk-RNAseq and scRNAseq data from rare disease patients - Building executable models (Boolean, ODE, agent-based or others) from omics data - Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models - Applying hybrid modelling approaches to limited data scenarios - Enabling multi-scale and cross-disease modelling for hypothesis generation and therapy discovery - Ensure FAIR principles in your outputs and contribute to the open source community by sharing models (where possible) in BioModels and other repositories - Generation of synthetic data to represent rare disease patients that can be shared You have - A PhD in bioinformatics, physics, or a related data-intensive field - Proficiency in Python (or R), version control, and clean code practices - Experience with omics data analysis and integration - Hands-on expertise in developing and fitting executable models - Strong communication and teamwork skills You may also have - Network inference and analysis experienc - Machine learning experience - Track record of completed research projects (e.g., publications, tools) Benefits and Contract Information - Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly child allowance of £328 per child. Generous stipend reviewed yearly, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances - Hybrid working arrangements - Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) - Generous time off: 30 days annual leave per year, in addition to eight bank holidays - Relocation package - Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) - Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances - Contract duration: This position is a 2 year fixed term grant limited contract - Salary: Year 1 Stipend at rate of £3,307 (Total package will be dependant on family circumstances) - International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. - Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. - Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. - DORA - EMBL is a signatory of DORA and is committed to hiring and training outstanding research, service, and administrative personnel. Year 1 Stipend - £3,307 per month after tax
Job Summary Microtech-Global is looking at for a Native Intelligent System Architecture Expert with experience in native intelligence construction of the HarmonyOS system. We are seeking to hire expert who focus on technologies related to terminal intelligence, including but not limited to the integration of LLM with OS, Agent architecture, user profiling, edge-cloud collaboration, foundational models for general artificial intelligence, multimodal large models, as well as model compression and optimization. Keep a close eye on industry trends and key technologies in the field of terminal intelligence, and incubate trends and technology roadmaps for software and hard intelligence transformation over 2-3 years. Key Responsibilities: • Participate in the native intelligence construction of the HarmonyOS system, lead the architecture and development of terminal operating system components that can flexibly support AI capabilities, better serve AI capabilities, improve the efficiency of AI model operation, and build the architectural competitiveness of HarmonyOS in the field of AI. • Use machine learning capabilities to optimize underlying system performance, resource management, and power consumption to achieve optimal global efficiency and enhance the performance of HarmonyOS devices. • Participate in the construction of intelligent features of HarmonyOS applications, design flexible and scalable application frameworks that can better adapt to leading AI technology empowerment. • Introduce new technologies to the team, verify key technical points, grasp new technical directions in the industry, ensure that the architecture has good technical compatibility. Create detailed architectural documents, design specifications, and AI integration technical guidelines. Required: • Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry-leading products and formulate years AI-native OS plan to promote the landing of AI-native OS. • Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision-making reasoning). Familiar with Huawei's business, have rich experience in technological innovation and technical research projects, deeply observe and analyze the technical competitiveness and solutions of industry-leading AI products. • Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy. Identify the company's technological innovation opportunities and challenges. Desired: • PhD in computer science, software engineering, communication, electronics, etc., have an in-depth understanding of the AI field, large models, etc. • Candidates with AI field-related TOP conference papers are preferred. • AI product landing experience. • Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration
Jul 17, 2025
Full time
Job Summary Microtech-Global is looking at for a Native Intelligent System Architecture Expert with experience in native intelligence construction of the HarmonyOS system. We are seeking to hire expert who focus on technologies related to terminal intelligence, including but not limited to the integration of LLM with OS, Agent architecture, user profiling, edge-cloud collaboration, foundational models for general artificial intelligence, multimodal large models, as well as model compression and optimization. Keep a close eye on industry trends and key technologies in the field of terminal intelligence, and incubate trends and technology roadmaps for software and hard intelligence transformation over 2-3 years. Key Responsibilities: • Participate in the native intelligence construction of the HarmonyOS system, lead the architecture and development of terminal operating system components that can flexibly support AI capabilities, better serve AI capabilities, improve the efficiency of AI model operation, and build the architectural competitiveness of HarmonyOS in the field of AI. • Use machine learning capabilities to optimize underlying system performance, resource management, and power consumption to achieve optimal global efficiency and enhance the performance of HarmonyOS devices. • Participate in the construction of intelligent features of HarmonyOS applications, design flexible and scalable application frameworks that can better adapt to leading AI technology empowerment. • Introduce new technologies to the team, verify key technical points, grasp new technical directions in the industry, ensure that the architecture has good technical compatibility. Create detailed architectural documents, design specifications, and AI integration technical guidelines. Required: • Familiar with operating system architecture, have a clear understanding and knowledge of the underlying system architecture, and have experience in applying intelligent technology at the system level. Deeply observe and analyse the intelligent direction of industry-leading products and formulate years AI-native OS plan to promote the landing of AI-native OS. • Have in-depth academic research capabilities and achievements in the field of artificial intelligence (including natural language processing, computer vision, and decision-making reasoning). Familiar with Huawei's business, have rich experience in technological innovation and technical research projects, deeply observe and analyze the technical competitiveness and solutions of industry-leading AI products. • Have a certain influence in the field of AI research, be able to quickly obtain industry technical resources, and transform them into internal competitiveness. Understand the commercial value behind the mainstream technology routes in the industry and their impact on the company's AI research strategy. Identify the company's technological innovation opportunities and challenges. Desired: • PhD in computer science, software engineering, communication, electronics, etc., have an in-depth understanding of the AI field, large models, etc. • Candidates with AI field-related TOP conference papers are preferred. • AI product landing experience. • Familiar with one of the mainstream mobile systems, understand the architecture and software framework of device system software, and understand AI hardware acceleration
WHO WE ARE At Proxima Fusion, we're driven by a bold mission - to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity, we're building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world. WHY JOIN PROXIMA FUSION - You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world. - You'll get to join and learn from an exceptional selection of accomplished and driven individuals. - Do your life's best work and enjoy the journey. - Get to show that big things are possible in Europe when you assemble the best talent. YOUR IMPACT Take ownership of the integration of our HTS stellarator magnet technology into the design of Proxima's net energy stellarator, Alpha. This role demands high-level systems thinking, simulation and modelling skills, technical judgement, and the ability to make impactful design decisions in areas where the "right" answer is not immediately clear. The role will include developing the conceptual designs of first-of-a-kind electrical, cooling and protection system solutions. WHAT YOU WILL DO - Architect the magnet sub-system of the Alpha stellarator, leveraging Proxima's magnet technology and diving into protection and support systems. - Closely collaborate with other systems and system leads to ensure alignment and cohesion across the full Alpha concept design. - Own magnet system integration challenges, such as neutronics considerations and field quality requirements. - Lead the analysis of the integrated Alpha magnet system using analytical models, high fidelity simulations, and first principles reasoning to make and validate key design decisions. - Act as key stakeholder for Proxima's Stellarator Model Coil, ensuring that this prototype magnet effectively informs the Alpha design. WHO YOU ARE - Recognized expertise in superconducting magnets, high-power electrical engineering, or integrated fusion reactor design. - Proven track record in systems architecture or leading complex engineering efforts at the subsystem or system level, including conceptual design development and reduced-order analysis. - Comfortable operating in ambiguous environments, making informed decisions with limited data, and managing trade-offs among competing requirements. - Experience validating first-of-a-kind designs with uncertain performance through a combination of multi-scale and multi-physics simulations, testing, and prototyping. - Demonstrated ability to lead and work within multidisciplinary technical teams in fast-paced, dynamic settings. - Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts clearly and persuasively. INTERVIEW PROCESS Recruiter Interview (30-60 min). Technical Screening (30 min). Technical Panel (3x60 min). CEO call (30 min). At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don't look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.
Jul 17, 2025
Full time
WHO WE ARE At Proxima Fusion, we're driven by a bold mission - to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. To fully grasp this huge opportunity, we're building a team of extremely dedicated and passionate people who come together driving something extraordinary, radically transforming technology in the world. WHY JOIN PROXIMA FUSION - You will get to work on some of the most complex tech challenges to bring abundant, safe, clean energy to the world. - You'll get to join and learn from an exceptional selection of accomplished and driven individuals. - Do your life's best work and enjoy the journey. - Get to show that big things are possible in Europe when you assemble the best talent. YOUR IMPACT Take ownership of the integration of our HTS stellarator magnet technology into the design of Proxima's net energy stellarator, Alpha. This role demands high-level systems thinking, simulation and modelling skills, technical judgement, and the ability to make impactful design decisions in areas where the "right" answer is not immediately clear. The role will include developing the conceptual designs of first-of-a-kind electrical, cooling and protection system solutions. WHAT YOU WILL DO - Architect the magnet sub-system of the Alpha stellarator, leveraging Proxima's magnet technology and diving into protection and support systems. - Closely collaborate with other systems and system leads to ensure alignment and cohesion across the full Alpha concept design. - Own magnet system integration challenges, such as neutronics considerations and field quality requirements. - Lead the analysis of the integrated Alpha magnet system using analytical models, high fidelity simulations, and first principles reasoning to make and validate key design decisions. - Act as key stakeholder for Proxima's Stellarator Model Coil, ensuring that this prototype magnet effectively informs the Alpha design. WHO YOU ARE - Recognized expertise in superconducting magnets, high-power electrical engineering, or integrated fusion reactor design. - Proven track record in systems architecture or leading complex engineering efforts at the subsystem or system level, including conceptual design development and reduced-order analysis. - Comfortable operating in ambiguous environments, making informed decisions with limited data, and managing trade-offs among competing requirements. - Experience validating first-of-a-kind designs with uncertain performance through a combination of multi-scale and multi-physics simulations, testing, and prototyping. - Demonstrated ability to lead and work within multidisciplinary technical teams in fast-paced, dynamic settings. - Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts clearly and persuasively. INTERVIEW PROCESS Recruiter Interview (30-60 min). Technical Screening (30 min). Technical Panel (3x60 min). CEO call (30 min). At Proxima Fusion, our mission is bold: making limitless clean energy a reality. To get there, we need a high-performing, diverse team that brings different perspectives, challenges assumptions, and builds together with purpose. We know that diversity of thought and experience leads to better ideas, stronger execution, and a more resilient team. We don't look at how you identify, what you look like, who you choose to worship or what ethnicity you are. We care about what you can bring to the table.
Product Associate Brilliant opportunity for a Legal professional to work as a Product Associate , joining a market-leading disruptive legal-software technology firm. This role can be based from either London or Cambridge. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house and be guided by some of the brightest minds in this field. On a daily basis, you will be working as a Pre-Sales advisor, supporting in Customer Success, while working closely with R&D and Engineering. Location: You can choose to be based from Central London or Cambridge 3 days in office / 2 days remote Salary: Negotiable + healthcare, pension etc. Requirements for Legal Product Associate Experience working in a legal setting, ideally as a lawyer A minimum of a 2.1 bachelor s from an internationally renowned university in ideally a STEM, Humanities, or Law-related discipline At least AAB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV) Outstanding customer-facing skills with a sales spark A motivated self-starter with a problem-solving attitude Strong aptitude for picking up technologies Ability to work with autonomy and as part of a team Great communication skills with fluent spoken and written English Responsibilities for Legal Product Associate Work closely with teams across engineering, marketing, sales, and design to support new product initiatives for legal software Draft clear product requirements, feature outlines, and technical specifications Oversee project timelines to help deliver products on schedule Facilitate collaboration between different departments to maintain progress on development milestones Contribute to product launch plans by coordinating activities and ensuring cross-team alignment Produce comprehensive product guides and training resources to aid sales and support staff Perform market analysis to understand customer expectations, industry shifts, and competitor offerings Serve as a key point of contact between product and other business functions to keep everyone informed of updates and priorities What this offers Working for an industry-leading software company with a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform Joining a fast-growing company where progression opportunities are in abundance Applications If you have top academics and would like to apply, we would love to hear from you. Please ensure when applying you include your degree classification/GPA and your A-Level grades (or UCAS equivalent) on your CV. Please send an up-to-date CV via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job board, full details for contact are available on our website).
Jul 17, 2025
Full time
Product Associate Brilliant opportunity for a Legal professional to work as a Product Associate , joining a market-leading disruptive legal-software technology firm. This role can be based from either London or Cambridge. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house and be guided by some of the brightest minds in this field. On a daily basis, you will be working as a Pre-Sales advisor, supporting in Customer Success, while working closely with R&D and Engineering. Location: You can choose to be based from Central London or Cambridge 3 days in office / 2 days remote Salary: Negotiable + healthcare, pension etc. Requirements for Legal Product Associate Experience working in a legal setting, ideally as a lawyer A minimum of a 2.1 bachelor s from an internationally renowned university in ideally a STEM, Humanities, or Law-related discipline At least AAB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV) Outstanding customer-facing skills with a sales spark A motivated self-starter with a problem-solving attitude Strong aptitude for picking up technologies Ability to work with autonomy and as part of a team Great communication skills with fluent spoken and written English Responsibilities for Legal Product Associate Work closely with teams across engineering, marketing, sales, and design to support new product initiatives for legal software Draft clear product requirements, feature outlines, and technical specifications Oversee project timelines to help deliver products on schedule Facilitate collaboration between different departments to maintain progress on development milestones Contribute to product launch plans by coordinating activities and ensuring cross-team alignment Produce comprehensive product guides and training resources to aid sales and support staff Perform market analysis to understand customer expectations, industry shifts, and competitor offerings Serve as a key point of contact between product and other business functions to keep everyone informed of updates and priorities What this offers Working for an industry-leading software company with a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform Joining a fast-growing company where progression opportunities are in abundance Applications If you have top academics and would like to apply, we would love to hear from you. Please ensure when applying you include your degree classification/GPA and your A-Level grades (or UCAS equivalent) on your CV. Please send an up-to-date CV via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job board, full details for contact are available on our website).
Technical Product Lead (Machine Learning & AI) A large corporate undergoing major digital & data transformation, implementing AI & ML solutions to enhance Customer Experience. They are seeking a Head of Technical Product to join their internal "Software Scale-up" team. You will work with a group dedicated to delivering ML & AI products to various product leaders and senior stakeholders within the organization. Your responsibilities include building and leading a team of 4 Technical Product Managers and serving as the bridge between Engineers/Developers and business stakeholders. The ideal candidate likely started as a Developer or Data Scientist and has transitioned into a Product Owner, Product Manager, or Business Analyst role. Strong communication skills with both technical and business audiences are essential. You will play a pivotal role in one of the UK's largest Digital & AI transformations. Technical Experience: Background in Data Science, AI, or advanced Analytics Knowledge of data architecture and data processing technologies Experience with Python and SQL Familiarity with microservices and event-driven architectures Experience building data-driven software applications in areas such as: AI Data Science / Analytics Decision support systems Automation E-commerce Call centre tooling Operational management tooling ML and/or Data Ops
Jul 17, 2025
Full time
Technical Product Lead (Machine Learning & AI) A large corporate undergoing major digital & data transformation, implementing AI & ML solutions to enhance Customer Experience. They are seeking a Head of Technical Product to join their internal "Software Scale-up" team. You will work with a group dedicated to delivering ML & AI products to various product leaders and senior stakeholders within the organization. Your responsibilities include building and leading a team of 4 Technical Product Managers and serving as the bridge between Engineers/Developers and business stakeholders. The ideal candidate likely started as a Developer or Data Scientist and has transitioned into a Product Owner, Product Manager, or Business Analyst role. Strong communication skills with both technical and business audiences are essential. You will play a pivotal role in one of the UK's largest Digital & AI transformations. Technical Experience: Background in Data Science, AI, or advanced Analytics Knowledge of data architecture and data processing technologies Experience with Python and SQL Familiarity with microservices and event-driven architectures Experience building data-driven software applications in areas such as: AI Data Science / Analytics Decision support systems Automation E-commerce Call centre tooling Operational management tooling ML and/or Data Ops
£23000 - £26000 per annum + dependent on experience Location United Kingdom, Coventry Job Type Permanent Description A consultancy business is looking for someone who is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Head of Data Science you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should buy next or which strategic partnership/venture to progress. They are at the forefront of their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities Aid in the migration and analysis of data and the creation of one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A mathematics/computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics, Software Engineering or similar Microsoft SQL Server Experience R & Python Experience Creativity and an eye for branding Please note due to the large volume of applications we receive for these roles, if we have not contacted you within 7 days then unfortunately your application hasn't been successful, however we may contact you regarding other roles. We're sorry we can't contact you directly, but we wish you all the best in your job search. Apply for this job Regional accountancy, finance and HR recruiters
Jul 17, 2025
Full time
£23000 - £26000 per annum + dependent on experience Location United Kingdom, Coventry Job Type Permanent Description A consultancy business is looking for someone who is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Head of Data Science you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should buy next or which strategic partnership/venture to progress. They are at the forefront of their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities Aid in the migration and analysis of data and the creation of one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A mathematics/computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics, Software Engineering or similar Microsoft SQL Server Experience R & Python Experience Creativity and an eye for branding Please note due to the large volume of applications we receive for these roles, if we have not contacted you within 7 days then unfortunately your application hasn't been successful, however we may contact you regarding other roles. We're sorry we can't contact you directly, but we wish you all the best in your job search. Apply for this job Regional accountancy, finance and HR recruiters
Matching the people with the knowledge to solve today and tomorrow's problems with the companies who need their help to do it. AND WITH AI. An opportunity to get your hands down and dirty with data to help companies find the best talent. Specifically focusing on research, innovation, science, and engineering. There is a huge and complex database, using AI to provide quantitative insights that are unmatched. These insights highlight underrepresented talent, particularly women. Day to day, you'll design and develop data pipelines, ensuring data is clean, transformed, and integrated efficiently into the database. The environment is collaborative, working closely with machine learning engineers and data scientists to facilitate seamless data analysis. You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in Python and SQL is essential, as well as enjoying using them daily. This is a chance to have a genuine impact in a growing company with a mission to improve accessibility to tomorrow's saviors. You'll work in a collaborative environment, learning from talented engineers and led by one of the UK's brightest minds. And of course, everyone's favourite buzz word: Artificial Intelligence. No CV required to get more details-reach out!
Jul 17, 2025
Full time
Matching the people with the knowledge to solve today and tomorrow's problems with the companies who need their help to do it. AND WITH AI. An opportunity to get your hands down and dirty with data to help companies find the best talent. Specifically focusing on research, innovation, science, and engineering. There is a huge and complex database, using AI to provide quantitative insights that are unmatched. These insights highlight underrepresented talent, particularly women. Day to day, you'll design and develop data pipelines, ensuring data is clean, transformed, and integrated efficiently into the database. The environment is collaborative, working closely with machine learning engineers and data scientists to facilitate seamless data analysis. You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in Python and SQL is essential, as well as enjoying using them daily. This is a chance to have a genuine impact in a growing company with a mission to improve accessibility to tomorrow's saviors. You'll work in a collaborative environment, learning from talented engineers and led by one of the UK's brightest minds. And of course, everyone's favourite buzz word: Artificial Intelligence. No CV required to get more details-reach out!
Vacancy for Research Data Engineers at NPL 6 July 2021 Locations: Glasgow & Teddington NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade and innovation. We are investing in Data Science to address scientific challenges in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health, aligned with our organizational growth and transformation plans. The Data Science team at NPL is expanding, and we are seeking motivated candidates at all levels, from early career to experienced scientists, data engineers, and software developers. We offer a great work environment, competitive salaries, career opportunities, and a wide range of benefits. Your role will focus on integrating best practices from software development into scientific data management to drive NPL's Scientific Digital Transformation. Working alongside leading scientists at NPL and our partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects. You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures, protocols, and software tools to promote the FAIR principles (Findable, Accessible, Interoperable, Reusable) and enabling knowledge representation and reasoning. We seek self-motivated individuals capable of supporting the data needs of multiple teams and platforms. You will be involved in a range of knowledge management projects across different science and industry domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across Teddington, Cambridge, and Glasgow, is currently working remotely due to COVID-19. We are hiring in both Glasgow and Teddington, with occasional travel between sites. Please note, while flexible working arrangements are possible, this role is not fully remote.
Jul 17, 2025
Full time
Vacancy for Research Data Engineers at NPL 6 July 2021 Locations: Glasgow & Teddington NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade and innovation. We are investing in Data Science to address scientific challenges in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health, aligned with our organizational growth and transformation plans. The Data Science team at NPL is expanding, and we are seeking motivated candidates at all levels, from early career to experienced scientists, data engineers, and software developers. We offer a great work environment, competitive salaries, career opportunities, and a wide range of benefits. Your role will focus on integrating best practices from software development into scientific data management to drive NPL's Scientific Digital Transformation. Working alongside leading scientists at NPL and our partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects. You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures, protocols, and software tools to promote the FAIR principles (Findable, Accessible, Interoperable, Reusable) and enabling knowledge representation and reasoning. We seek self-motivated individuals capable of supporting the data needs of multiple teams and platforms. You will be involved in a range of knowledge management projects across different science and industry domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across Teddington, Cambridge, and Glasgow, is currently working remotely due to COVID-19. We are hiring in both Glasgow and Teddington, with occasional travel between sites. Please note, while flexible working arrangements are possible, this role is not fully remote.
£20000 - £28000 per annum + dependent on experience Location United Kingdom, Manchester Job Type Permanent Description My Client is looking for someone who is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Digital Lead you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should buy next or which strategic partnership / venture to progress. My Client is a leading and fast-growing company in their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities: Aid in the migration and analysis of data and the creation of one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background with knowledge of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics, Software Engineering or similar Microsoft SQL Server Experience R & Python Experience Creativity and an eye for branding Please contact Sam Fish on or apply direct for more information. We have a large volume of applications for these roles, if we have not contacted you within 7 days then, unfortunately, your application hasn't been successful. Apply for this job
Jul 17, 2025
Full time
£20000 - £28000 per annum + dependent on experience Location United Kingdom, Manchester Job Type Permanent Description My Client is looking for someone who is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Digital Lead you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should buy next or which strategic partnership / venture to progress. My Client is a leading and fast-growing company in their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities: Aid in the migration and analysis of data and the creation of one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background with knowledge of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics, Software Engineering or similar Microsoft SQL Server Experience R & Python Experience Creativity and an eye for branding Please contact Sam Fish on or apply direct for more information. We have a large volume of applications for these roles, if we have not contacted you within 7 days then, unfortunately, your application hasn't been successful. Apply for this job
Digital Preservation Coalition
Teddington, Middlesex
Vacancy for Research Data Engineers at NPL 6 July 2021 Locations: Glasgow & Teddington NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade and innovation. We are investing in Data Science to address scientific challenges in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health, aligned with our organizational growth and transformation plans. The Data Science team at NPL is expanding, and we are seeking motivated candidates at all levels, from early career to experienced scientists, data engineers, and software developers. We offer a great work environment, competitive salaries, career opportunities, and a wide range of benefits. Your role will focus on integrating best practices from software development into scientific data management to drive NPL's Scientific Digital Transformation. Working alongside leading scientists at NPL and our partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects. You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures, protocols, and software tools to promote the FAIR principles (Findable, Accessible, Interoperable, Reusable) and enabling knowledge representation and reasoning. We seek self-motivated individuals capable of supporting the data needs of multiple teams and platforms. You will be involved in a range of knowledge management projects across different science and industry domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across Teddington, Cambridge, and Glasgow, is currently working remotely due to COVID-19. We are hiring in both Glasgow and Teddington, with occasional travel between sites. Please note, while flexible working arrangements are possible, this role is not fully remote.
Jul 17, 2025
Full time
Vacancy for Research Data Engineers at NPL 6 July 2021 Locations: Glasgow & Teddington NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade and innovation. We are investing in Data Science to address scientific challenges in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health, aligned with our organizational growth and transformation plans. The Data Science team at NPL is expanding, and we are seeking motivated candidates at all levels, from early career to experienced scientists, data engineers, and software developers. We offer a great work environment, competitive salaries, career opportunities, and a wide range of benefits. Your role will focus on integrating best practices from software development into scientific data management to drive NPL's Scientific Digital Transformation. Working alongside leading scientists at NPL and our partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects. You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures, protocols, and software tools to promote the FAIR principles (Findable, Accessible, Interoperable, Reusable) and enabling knowledge representation and reasoning. We seek self-motivated individuals capable of supporting the data needs of multiple teams and platforms. You will be involved in a range of knowledge management projects across different science and industry domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across Teddington, Cambridge, and Glasgow, is currently working remotely due to COVID-19. We are hiring in both Glasgow and Teddington, with occasional travel between sites. Please note, while flexible working arrangements are possible, this role is not fully remote.
Tired of battling outdated tech and feeling like your projects are stuck in the past? Ready to leap into the future with a gig that's all about modern, cutting-edge innovation? This is a role where you'll dive into an AI-centric product platform, giving you hands-on experience with the technology that's shaking up the market as we speak. You'll be working on some seriously cool data analysis software, powered by AI, that helps clients make smart decisions - think spending, investments, and beyond - with crystal-clear visual insights. As the Head of QA, you'll be the mastermind behind the testing strategies, building them from scratch. You'll be the go-to guru for the distributed team, wielding full decision-making power and steering the ship in the right direction. Plus, you'll get to assemble your dream team around you as the projects evolve. You'll also get to rub elbows with other departments like the Machine Learning Engineers, perfect for broadening your technical horizons. The perfect candidate has hands-on experience in both manual and automation testing with a variety of tools (any will do!) and has previously led teams of QA engineers. This role offers flexible hybrid working options, with the perk of travelling to one of our European offices twice a week-on your schedule. Interested? Give us a shout for a no-pressure chat about the details, and hit 'apply now' to learn more. No CV is needed for an initial conversation.
Jul 17, 2025
Full time
Tired of battling outdated tech and feeling like your projects are stuck in the past? Ready to leap into the future with a gig that's all about modern, cutting-edge innovation? This is a role where you'll dive into an AI-centric product platform, giving you hands-on experience with the technology that's shaking up the market as we speak. You'll be working on some seriously cool data analysis software, powered by AI, that helps clients make smart decisions - think spending, investments, and beyond - with crystal-clear visual insights. As the Head of QA, you'll be the mastermind behind the testing strategies, building them from scratch. You'll be the go-to guru for the distributed team, wielding full decision-making power and steering the ship in the right direction. Plus, you'll get to assemble your dream team around you as the projects evolve. You'll also get to rub elbows with other departments like the Machine Learning Engineers, perfect for broadening your technical horizons. The perfect candidate has hands-on experience in both manual and automation testing with a variety of tools (any will do!) and has previously led teams of QA engineers. This role offers flexible hybrid working options, with the perk of travelling to one of our European offices twice a week-on your schedule. Interested? Give us a shout for a no-pressure chat about the details, and hit 'apply now' to learn more. No CV is needed for an initial conversation.
One of Europe's most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Strong STEM degree, ideally MSc level & above Good knowledge & Experience of Machine Learning Algorithms Strong Software Engineering skills - ideally Python Ability to articulate how you have solved complex problems in the past through technical solutions You will join a hugely talented team of Machine Learning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days. Apply now to the Machine Learning Engineer role by clicking on the link and uploading either your CV or an Executive Bio.
Jul 17, 2025
Full time
One of Europe's most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Strong STEM degree, ideally MSc level & above Good knowledge & Experience of Machine Learning Algorithms Strong Software Engineering skills - ideally Python Ability to articulate how you have solved complex problems in the past through technical solutions You will join a hugely talented team of Machine Learning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days. Apply now to the Machine Learning Engineer role by clicking on the link and uploading either your CV or an Executive Bio.
Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience bonus good bens. Flexible Working Location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, or AI Engineer. We are assisting in recruiting AI Engineers / Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location. The successful candidate will be a key team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work. Key Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks / Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science projects, planning, and team leadership Deerfoot IT Resources Ltd is a leading IT recruitment business. We will always email a full role specification, specify the client, and wait for your approval before submitting your CV. We donate £1 to The Born Free Foundation for each CV sent to a client.
Jul 17, 2025
Full time
Artificial Intelligence Engineer / Data Scientist £50k - £90k dependant on experience bonus good bens. Flexible Working Location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, or AI Engineer. We are assisting in recruiting AI Engineers / Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location. The successful candidate will be a key team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work. Key Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks / Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science projects, planning, and team leadership Deerfoot IT Resources Ltd is a leading IT recruitment business. We will always email a full role specification, specify the client, and wait for your approval before submitting your CV. We donate £1 to The Born Free Foundation for each CV sent to a client.
Looking for a mathematical software engineer role at a growing company that's starting their adoption of machine learning technology? This company creates mathematical tools for solving numerical optimisation problems for logistics and trading. Their unique software toolkit is relied upon by clients worldwide. Due to their continued success, they are seeking to recruit an additional engineer to the team with an outstanding background in computer science, as well as strong coding and mathematical skills. You will need: A strong academic background in computer science (1st or 2.1 from a leading university, good A-levels or equivalent), and a PhD in a relevant computing or mathematical subject. Hands-on coding skills in Java, C#, C++, Rust, or similar. (Regrettably, scripting languages alone won't be sufficient.) A strong understanding of large language models or neural networks would be advantageous. The company are based in Central London location with excellent transport hubs and amenities nearby. Interested? Send your CV to ECM Selection; whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at . Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
Jul 17, 2025
Full time
Looking for a mathematical software engineer role at a growing company that's starting their adoption of machine learning technology? This company creates mathematical tools for solving numerical optimisation problems for logistics and trading. Their unique software toolkit is relied upon by clients worldwide. Due to their continued success, they are seeking to recruit an additional engineer to the team with an outstanding background in computer science, as well as strong coding and mathematical skills. You will need: A strong academic background in computer science (1st or 2.1 from a leading university, good A-levels or equivalent), and a PhD in a relevant computing or mathematical subject. Hands-on coding skills in Java, C#, C++, Rust, or similar. (Regrettably, scripting languages alone won't be sufficient.) A strong understanding of large language models or neural networks would be advantageous. The company are based in Central London location with excellent transport hubs and amenities nearby. Interested? Send your CV to ECM Selection; whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at . Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of SQL programming and statistical packages. Analyse, understand, clean, integrate and process complex/messy data. Execute and deliver standard analytics services efficiently and consistently. Be proactive, creative and inventive to solve problems to enhance existing and develop new analytics related products and services. My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective. Educational level: Master Degree Tagged as: Big Data , Data Analysis , Data Mining , Industry , Master Degree , United Kingdom
Jul 17, 2025
Full time
This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients and colleagues. Heavy use of SQL programming and statistical packages. Analyse, understand, clean, integrate and process complex/messy data. Execute and deliver standard analytics services efficiently and consistently. Be proactive, creative and inventive to solve problems to enhance existing and develop new analytics related products and services. My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest a tremendous amount of time and money on skills training and personal development, so it will be a huge opportunity to progress your career from a technical Data Science skills and personal growth perspective. Educational level: Master Degree Tagged as: Big Data , Data Analysis , Data Mining , Industry , Master Degree , United Kingdom
Are you ready to make a real difference in people's lives? We're talking about the kind of difference that has folks naming their pets, park benches, or airports after you. Here, you'll team up with world-class researchers, scientists, and IT professionals who are collaborating to facilitate industry-leading research that's saving the lives of millions of patients worldwide. Think of it like the Avengers, but with more lab coats and less spandex. Working in the HPC and Storage team, you'll be the superhero managing and developing research systems and scientific compute services. You'll be working with a massive infrastructure boasting over 1,000 HPC clusters and petabytes of research data storage. Basically, you'll have more storage than your grandma's attic and more cores than an apple orchard. You'll also get to flex your brain muscles on design, systems integration, and implementation, gaining exposure to technology so advanced it might just be from the future. The team is established and dedicated to making a long-lasting and positive impact on the world. Your work will directly contribute to ground-breaking research, helping to fight one of the leading causes of death globally. No pressure. But wait, there's more! This company offers a flexible work environment that lets you work from home most of the time. That's right - you can save lives in your pyjamas. If you're ready to enact great change and have some fun while doing it, click the apply button below! Capes are optional, but enthusiasm is mandatory. If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity. Fancy directly working for one of the DevOps tools you probably use on a daily basis? The Data and AI revolution is already well underway. If you've been riding the rollercoaster of data science while building teams, this could be the one for you. Whatever role you are looking for, our team will work with you to understand your skills, experience, career goals, and aspirations. Kick-start your job search by registering with us today. Searching for new talent? Let's go. Get in touch with us today to find out how we can help scale your team.
Jul 17, 2025
Full time
Are you ready to make a real difference in people's lives? We're talking about the kind of difference that has folks naming their pets, park benches, or airports after you. Here, you'll team up with world-class researchers, scientists, and IT professionals who are collaborating to facilitate industry-leading research that's saving the lives of millions of patients worldwide. Think of it like the Avengers, but with more lab coats and less spandex. Working in the HPC and Storage team, you'll be the superhero managing and developing research systems and scientific compute services. You'll be working with a massive infrastructure boasting over 1,000 HPC clusters and petabytes of research data storage. Basically, you'll have more storage than your grandma's attic and more cores than an apple orchard. You'll also get to flex your brain muscles on design, systems integration, and implementation, gaining exposure to technology so advanced it might just be from the future. The team is established and dedicated to making a long-lasting and positive impact on the world. Your work will directly contribute to ground-breaking research, helping to fight one of the leading causes of death globally. No pressure. But wait, there's more! This company offers a flexible work environment that lets you work from home most of the time. That's right - you can save lives in your pyjamas. If you're ready to enact great change and have some fun while doing it, click the apply button below! Capes are optional, but enthusiasm is mandatory. If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity. Fancy directly working for one of the DevOps tools you probably use on a daily basis? The Data and AI revolution is already well underway. If you've been riding the rollercoaster of data science while building teams, this could be the one for you. Whatever role you are looking for, our team will work with you to understand your skills, experience, career goals, and aspirations. Kick-start your job search by registering with us today. Searching for new talent? Let's go. Get in touch with us today to find out how we can help scale your team.
Are you a software engineer looking to make an impact on AI technology? Do you have software engineering expertise and a passion for innovation? About Team: The AI Platform team is responsible for the features that power the AI capabilities of one of LexisNexis IP's flagship products, PatentSight+. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI tools. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform. You'll be working in a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Delivering AI-powered features. Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases. Participating in development processes and code reviews. Operating in a Scrum-based development environment while collaborating with stakeholders. Proactively seeking to learn about best coding practices in Python. Requirements: Ability to write code and tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results . We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.
Jul 17, 2025
Full time
Are you a software engineer looking to make an impact on AI technology? Do you have software engineering expertise and a passion for innovation? About Team: The AI Platform team is responsible for the features that power the AI capabilities of one of LexisNexis IP's flagship products, PatentSight+. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI tools. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform. You'll be working in a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Delivering AI-powered features. Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases. Participating in development processes and code reviews. Operating in a Scrum-based development environment while collaborating with stakeholders. Proactively seeking to learn about best coding practices in Python. Requirements: Ability to write code and tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results . We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.
"Natural Language Processing - computer activity in which computers are tasked with analyzing, understanding, altering, or generating natural language." This field has been evolving since the 1950s and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be an NLP expert myself, but I enjoy working with clients who are, and I am eager to see how they are applying NLP and the exciting possibilities it offers. Currently, my client is seeking someone with a deep technical knowledge and passion for NLP. They are an innovative start-up based in London, focusing on NLP, machine learning, and text mining. They are developing their own active learning algorithms and intellectual property, and are looking for someone to lead their engineering efforts. If this role isn't suitable for you, perhaps you know someone who might be interested. Company: Revolution Technology Qualifications: Skills required: Computer Science background Algorithm implementation Machine learning expertise Proficiency in Go, C, C++, Redis Experience with multi-language text processing How to apply: Please mention NLP People as a source when applying. Apply here Tags: Industry , Machine Learning , Natural Language Processing , NLP , United Kingdom
Jul 17, 2025
Full time
"Natural Language Processing - computer activity in which computers are tasked with analyzing, understanding, altering, or generating natural language." This field has been evolving since the 1950s and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be an NLP expert myself, but I enjoy working with clients who are, and I am eager to see how they are applying NLP and the exciting possibilities it offers. Currently, my client is seeking someone with a deep technical knowledge and passion for NLP. They are an innovative start-up based in London, focusing on NLP, machine learning, and text mining. They are developing their own active learning algorithms and intellectual property, and are looking for someone to lead their engineering efforts. If this role isn't suitable for you, perhaps you know someone who might be interested. Company: Revolution Technology Qualifications: Skills required: Computer Science background Algorithm implementation Machine learning expertise Proficiency in Go, C, C++, Redis Experience with multi-language text processing How to apply: Please mention NLP People as a source when applying. Apply here Tags: Industry , Machine Learning , Natural Language Processing , NLP , United Kingdom
Elsevier is in the midst of a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is changing the way research is done. We are mission led with a strong commitment to providing the best tools to help researchers and scientists do their work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise their research, contextualise it with respect to other research, collaborate with one another, and discover new research. Responsibilities: Research, develop and evaluate algorithms for use in Mendeley's software tools Demonstrate how well these algorithms perform when applied to real data Work with engineering teams to deliver algorithms in production environments What you'll be doing Identify, obtain and prepare data sets for training and testing algorithms Research, develop and evaluate algorithms for systems such as recommender and information extraction systems Build proof of concept prototypes demonstrating these algorithms in action Evaluate algorithms through controlled offline and online experiments Work with engineering teams to guide prototypes through to production, making reliable/scalable systems Manipulate large scale data (data cleaning, data normalisation, data linkage) Company: Elsevier Qualifications: What you should bring Strong research and development experience in industry and/or academia Hold an MSc, preferably PhD, in Computer Science Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments Strong presentation skills in communicating with experts and novices Language requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom
Jul 17, 2025
Full time
Elsevier is in the midst of a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semantic web and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is changing the way research is done. We are mission led with a strong commitment to providing the best tools to help researchers and scientists do their work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise their research, contextualise it with respect to other research, collaborate with one another, and discover new research. Responsibilities: Research, develop and evaluate algorithms for use in Mendeley's software tools Demonstrate how well these algorithms perform when applied to real data Work with engineering teams to deliver algorithms in production environments What you'll be doing Identify, obtain and prepare data sets for training and testing algorithms Research, develop and evaluate algorithms for systems such as recommender and information extraction systems Build proof of concept prototypes demonstrating these algorithms in action Evaluate algorithms through controlled offline and online experiments Work with engineering teams to guide prototypes through to production, making reliable/scalable systems Manipulate large scale data (data cleaning, data normalisation, data linkage) Company: Elsevier Qualifications: What you should bring Strong research and development experience in industry and/or academia Hold an MSc, preferably PhD, in Computer Science Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments Strong presentation skills in communicating with experts and novices Language requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom
